chore: Regenerate all playbooks

nvidia/txt2kg/README.md

@@ -54,8 +54,9 @@ The setup includes:
   - Document processing time scales with document size and complexity
 
 - **Rollback**: Stop and remove Docker containers, delete downloaded models if needed
-- **Last Updated**: 11/19/2025
-  - Updated GPU Visualization Service
+- **Last Updated**: 12/02/2025
+  - Knowledge graph search with multi-hop graph traversal
+  - Improved UI/UX
 
 ## Instructions
 

nvidia/txt2kg/assets/.dockerignore

@@ -1,3 +1,44 @@
+# Dependencies
 node_modules
+.pnpm-store
+**/node_modules
+**/.pnpm-store
+
+# Next.js build outputs
 .next
-.git 
+out
+**/.next
+**/out
+
+# Git
+.git
+.gitignore
+**/.git
+
+# Logs
+*.log
+npm-debug.log*
+pnpm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+
+# IDE
+.vscode
+.idea
+*.swp
+*.swo
+.DS_Store
+
+# Testing
+coverage
+__tests__
+*.test.ts
+*.test.tsx
+*.spec.ts
+*.spec.tsx
+
+# Misc
+.env.local
+.env.*.local
+README.md
+.eslintcache 

nvidia/txt2kg/assets/deploy/app/Dockerfile

@@ -1,48 +1,74 @@
-# Use the official Node.js image from the Docker Hub
-FROM node:18-slim
-
-# Set environment variables to avoid interactive prompts
-ENV DEBIAN_FRONTEND=noninteractive
-ENV NPM_CONFIG_YES=true
-ENV PNPM_HOME=/pnpm
-ENV PATH="$PNPM_HOME:$PATH"
-
-# Set the working directory
+# Optimized multi-stage Dockerfile for faster builds
+# Stage 1: Dependencies
+FROM node:18-slim AS deps
 WORKDIR /app
 
-# Install pnpm globally with --force and yes flags
+# Install pnpm
 RUN npm install -g pnpm --force --yes
 
-# Copy package files ONLY (for better Docker layer caching)
-# Copy package.json (required) and pnpm-lock.yaml (optional)
-COPY ./frontend/package.json ./
-COPY ./frontend/pnpm-lock.yaml* ./
-
-# Copy the scripts directory (needed for setup-pinecone)
+# Copy dependency files
+COPY ./frontend/package.json ./frontend/pnpm-lock.yaml* ./
 COPY ./scripts/ /scripts/
 
-# Update the setup-pinecone.js path in package.json
+# Update the setup-pinecone.js path
 RUN sed -i 's|"setup-pinecone": "node ../scripts/setup-pinecone.js"|"setup-pinecone": "node /scripts/setup-pinecone.js"|g' package.json
 
-# Install project dependencies (this layer will be cached if package files don't change)
-# Use --no-frozen-lockfile as fallback if lockfile is missing or out of sync
-RUN pnpm config set auto-install-peers true && \
+# Install dependencies with cache mount for faster rebuilds
+RUN --mount=type=cache,target=/root/.local/share/pnpm/store \
+    pnpm config set auto-install-peers true && \
     if [ -f pnpm-lock.yaml ]; then \
-        echo "Lock file found, installing with frozen lockfile..." && \
-        (pnpm install --no-optional --frozen-lockfile || pnpm install --no-optional --no-frozen-lockfile); \
+        pnpm install --no-optional --frozen-lockfile || pnpm install --no-optional --no-frozen-lockfile; \
     else \
-        echo "No lock file found, installing without frozen lockfile..." && \
         pnpm install --no-optional --no-frozen-lockfile; \
     fi
 
-# Copy the rest of the frontend files
+# Stage 2: Builder
+FROM node:18-slim AS builder
+WORKDIR /app
+
+# Install pnpm
+RUN npm install -g pnpm --force --yes
+
+# Copy node_modules from deps stage
+COPY --from=deps /app/node_modules ./node_modules
+COPY --from=deps /app/package.json ./package.json
+COPY --from=deps /scripts /scripts
+
+# Copy source code
 COPY ./frontend/ ./
 
-# Build the application
-RUN pnpm build
+# Set build environment variables
+ENV NEXT_TELEMETRY_DISABLED 1
+ENV NODE_ENV production
+
+# Build with cache mount for Next.js cache
+RUN --mount=type=cache,target=/app/.next/cache \
+    pnpm build
+
+# Stage 3: Production runtime
+FROM node:18-slim AS runner
+WORKDIR /app
+
+ENV NODE_ENV production
+ENV NEXT_TELEMETRY_DISABLED 1
+
+# Create non-root user for security
+RUN addgroup --system --gid 1001 nodejs && \
+    adduser --system --uid 1001 nextjs
+
+# Copy necessary files from builder
+COPY --from=builder /app/public ./public
+COPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./
+COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static
+
+# Create data directory for query logs with proper permissions
+RUN mkdir -p /app/data && chown -R nextjs:nodejs /app/data
+
+USER nextjs
 
-# Expose the port the app runs on
 EXPOSE 3000
 
-# Start the application
-CMD ["pnpm", "start"]
+ENV PORT 3000
+ENV HOSTNAME "0.0.0.0"
+
+CMD ["node", "server.js"]

nvidia/txt2kg/assets/deploy/app/arangodb-init/create-database.js

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 // ArangoDB initialization script to create the txt2kg database
 // This script is executed automatically when the ArangoDB container starts
 

nvidia/txt2kg/assets/deploy/app/arangodb-init/init.sh

@@ -1,4 +1,20 @@
 #!/bin/bash
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 set -e
 
 # Wait for ArangoDB to be ready

nvidia/txt2kg/assets/deploy/app/pinecone-init.sh

@@ -1,4 +1,20 @@
 #!/bin/sh
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 
 # Script to initialize Pinecone index at container startup
 echo "Initializing Pinecone index..."

nvidia/txt2kg/assets/deploy/app/qdrant-init.sh

@@ -0,0 +1,68 @@
+#!/bin/sh
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+# Script to initialize Qdrant collection at container startup
+echo "Initializing Qdrant collection..."
+
+# Wait for the Qdrant service to become available
+echo "Waiting for Qdrant service to start..."
+max_attempts=30
+attempt=1
+
+while [ $attempt -le $max_attempts ]; do
+  if curl -s http://qdrant:6333/healthz > /dev/null; then
+    echo "Qdrant service is up!"
+    break
+  fi
+  echo "Waiting for Qdrant service (attempt $attempt/$max_attempts)..."
+  attempt=$((attempt + 1))
+  sleep 2
+done
+
+if [ $attempt -gt $max_attempts ]; then
+  echo "Timed out waiting for Qdrant service"
+  exit 1
+fi
+
+# Check if collection already exists
+echo "Checking if collection 'entity-embeddings' exists..."
+COLLECTION_EXISTS=$(curl -s http://qdrant:6333/collections/entity-embeddings | grep -c '"status":"ok"' || echo "0")
+
+if [ "$COLLECTION_EXISTS" -gt "0" ]; then
+  echo "Collection 'entity-embeddings' already exists, skipping creation"
+else
+  # Create the collection
+  echo "Creating collection 'entity-embeddings'..."
+  curl -X PUT "http://qdrant:6333/collections/entity-embeddings" \
+    -H "Content-Type: application/json" \
+    -d '{
+      "vectors": {
+        "size": 384,
+        "distance": "Cosine"
+      }
+    }'
+
+  if [ $? -eq 0 ]; then
+    echo "✅ Collection 'entity-embeddings' created successfully"
+  else
+    echo "❌ Failed to create collection"
+    exit 1
+  fi
+fi
+
+echo "Qdrant initialization complete"

nvidia/txt2kg/assets/deploy/compose/docker-compose.yml

@@ -1,3 +1,4 @@
+
 services:
   app:
     build:
@@ -8,12 +9,18 @@ services:
     environment:
       - ARANGODB_URL=http://arangodb:8529
       - ARANGODB_DB=txt2kg
+      - QDRANT_URL=http://qdrant:6333
+      - VECTOR_DB_TYPE=qdrant
       - LANGCHAIN_TRACING_V2=true
+      - SENTENCE_TRANSFORMER_URL=http://sentence-transformers:80
+      - MODEL_NAME=all-MiniLM-L6-v2
+      - EMBEDDINGS_API_URL=http://sentence-transformers:80
       - GRPC_SSL_CIPHER_SUITES=HIGH+ECDSA:HIGH+aRSA
       - NODE_TLS_REJECT_UNAUTHORIZED=0
       - OLLAMA_BASE_URL=http://ollama:11434/v1
       - OLLAMA_MODEL=llama3.1:8b
       - REMOTE_WEBGPU_SERVICE_URL=http://txt2kg-remote-webgpu:8083
+      - NVIDIA_API_KEY=${NVIDIA_API_KEY:-}
       # Node.js timeout configurations for large model processing
       - NODE_OPTIONS=--max-http-header-size=80000
       - UV_THREADPOOL_SIZE=128
@@ -22,9 +29,12 @@ services:
     networks:
       - default
       - txt2kg-network
+      - pinecone-net
     depends_on:
       - arangodb
       - ollama
+      # Optional: sentence-transformers and entity-embeddings are only needed for vector search
+      # Traditional graph search works without these services
   arangodb:
     image: arangodb:latest
     ports:
@@ -58,16 +68,13 @@ services:
     volumes:
       - ollama_data:/root/.ollama
     environment:
+      - NVIDIA_VISIBLE_DEVICES=all        # Make all GPUs visible to the container
+      - NVIDIA_DRIVER_CAPABILITIES=compute,utility  # Required capabilities for CUDA
       - OLLAMA_FLASH_ATTENTION=1          # Enable flash attention for better performance
       - OLLAMA_KEEP_ALIVE=30m             # Keep models loaded for 30 minutes
-      - OLLAMA_CUDA=1                     # Enable CUDA acceleration
-      - OLLAMA_LLM_LIBRARY=cuda           # Use CUDA library for LLM operations
-      - OLLAMA_NUM_PARALLEL=1             # Process one request at a time for 70B models
+      - OLLAMA_NUM_PARALLEL=4             # Process 4 requests in parallel - DGX Spark has unified memory
       - OLLAMA_MAX_LOADED_MODELS=1        # Load only one model at a time to avoid VRAM contention
       - OLLAMA_KV_CACHE_TYPE=q8_0         # Reduce KV cache VRAM usage with minimal performance impact
-      - OLLAMA_GPU_LAYERS=999             # Use maximum GPU layers
-      - OLLAMA_GPU_MEMORY_FRACTION=0.9    # Use 90% of GPU memory
-      - CUDA_VISIBLE_DEVICES=0            # Use GPU 0 (change to 'all' for multi-GPU)
     networks:
       - default
     restart: unless-stopped
@@ -79,19 +86,90 @@ services:
               count: all
               capabilities: [gpu]
     healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:11434/api/tags"]
+      test: ["CMD", "ollama", "list"]
       interval: 30s
       timeout: 10s
       retries: 3
       start_period: 60s
+  
+  # Optional services for vector search (NOT required for traditional graph search)
+  # Traditional graph search works with just: app, arangodb, and ollama
+  sentence-transformers:
+    build:
+      context: ../services/sentence-transformers
+      dockerfile: Dockerfile
+    ports:
+      - '8000:80'
+    environment:
+      - MODEL_NAME=all-MiniLM-L6-v2
+    networks:
+      - default
+    restart: unless-stopped
+    profiles:
+      - vector-search  # Only start with: docker compose --profile vector-search up
+  qdrant:
+    image: qdrant/qdrant:latest
+    container_name: qdrant
+    ports:
+      - "6333:6333"
+      - "6334:6334"
+    volumes:
+      - qdrant_data:/qdrant/storage
+    networks:
+      - pinecone-net
+    restart: unless-stopped
+    profiles:
+      - vector-search  # Only start with: docker compose --profile vector-search up
+  qdrant-init:
+    image: curlimages/curl:latest
+    depends_on:
+      - qdrant
+    restart: "no"
+    entrypoint: /bin/sh
+    command:
+      - -c
+      - |
+        echo 'Waiting for Qdrant to start...'
+        sleep 5
+        echo 'Checking if entity-embeddings collection exists...'
+        RESPONSE=$(curl -s http://qdrant:6333/collections/entity-embeddings)
+        if echo "$RESPONSE" | grep -q '"status":"ok"'; then
+          echo 'entity-embeddings collection already exists'
+        else
+          echo 'Creating collection entity-embeddings...'
+          curl -X PUT http://qdrant:6333/collections/entity-embeddings \
+            -H 'Content-Type: application/json' \
+            -d '{"vectors":{"size":384,"distance":"Cosine"}}'
+          echo ''
+          echo 'entity-embeddings collection created successfully'
+        fi
+        echo 'Checking if document-embeddings collection exists...'
+        RESPONSE=$(curl -s http://qdrant:6333/collections/document-embeddings)
+        if echo "$RESPONSE" | grep -q '"status":"ok"'; then
+          echo 'document-embeddings collection already exists'
+        else
+          echo 'Creating collection document-embeddings...'
+          curl -X PUT http://qdrant:6333/collections/document-embeddings \
+            -H 'Content-Type: application/json' \
+            -d '{"vectors":{"size":384,"distance":"Cosine"}}'
+          echo ''
+          echo 'document-embeddings collection created successfully'
+        fi
+    networks:
+      - pinecone-net
+    profiles:
+      - vector-search
 
 volumes:
   arangodb_data:
   arangodb_apps_data:
   ollama_data:
+  qdrant_data:
 
 networks:
   default:
     driver: bridge
   txt2kg-network:
     driver: bridge
+  pinecone-net:
+    name: pinecone

nvidia/txt2kg/assets/deploy/services/gnn_model/app.py

@@ -1,4 +1,20 @@
 #!/usr/bin/env python3
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 
 import os
 import torch

nvidia/txt2kg/assets/deploy/services/gnn_model/client_example.py

@@ -1,4 +1,20 @@
 #!/usr/bin/env python3
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 
 import requests
 import json

nvidia/txt2kg/assets/deploy/services/gnn_model/train_export.py

@@ -1,4 +1,20 @@
 #!/usr/bin/env python3
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 
 import os
 import argparse

nvidia/txt2kg/assets/deploy/services/gpu-viz/Dockerfile

@@ -23,6 +23,7 @@ RUN pip install --no-cache-dir -r requirements.txt
 
 # Copy the service code
 COPY unified_gpu_service.py .
+COPY pygraphistry_service.py .
 
 # Create a non-root user for security (using a different UID to avoid conflicts)
 RUN useradd -m -u 1001 appuser && chown -R appuser:appuser /app

nvidia/txt2kg/assets/deploy/services/gpu-viz/README.md

@@ -9,11 +9,12 @@ This directory contains optional GPU-accelerated graph visualization services th
 ## 📦 Available Services
 
 ### 1. Unified GPU Service (`unified_gpu_service.py`)
-Provides **Local GPU (cuGraph)** and **CPU (NetworkX)** processing in a single FastAPI service.
+Combines **PyGraphistry Cloud** and **Local GPU (cuGraph)** processing into a single FastAPI service.
 
 **Processing Modes:**
 | Mode | Description | Requirements |
 |------|-------------|--------------|
+| **PyGraphistry Cloud** | Interactive GPU embeds in browser | API credentials |
 | **Local GPU (cuGraph)** | Full GPU processing on your hardware | NVIDIA GPU + cuGraph |
 | **Local CPU** | NetworkX fallback processing | None |
 
@@ -26,8 +27,9 @@ Local GPU processing service with WebSocket support for real-time updates.
 ## 🛠️ Setup
 
 ### Prerequisites
-- NVIDIA GPU with CUDA support (for GPU mode)
+- NVIDIA GPU with CUDA support (for GPU modes)
 - RAPIDS cuGraph (for local GPU processing)
+- PyGraphistry account (for cloud mode)
 
 ### Installation
 
@@ -92,8 +94,9 @@ Response:
 ```json
 {
   "processing_modes": {
-    "local_gpu": {"available": true, "description": "Local GPU processing with cuGraph/RAPIDS"},
-    "local_cpu": {"available": true, "description": "Local CPU fallback processing with NetworkX"}
+    "pygraphistry_cloud": {"available": true, "description": "..."},
+    "local_gpu": {"available": true, "description": "..."},
+    "local_cpu": {"available": true, "description": "..."}
   },
   "has_rapids": true,
   "gpu_available": true
@@ -105,18 +108,33 @@ Response:
 The txt2kg frontend includes built-in components for GPU visualization:
 
 - `UnifiedGPUViewer`: Connects to unified GPU service
+- `PyGraphistryViewer`: Direct PyGraphistry cloud integration
 - `ForceGraphWrapper`: Three.js WebGPU visualization (default)
 
 ### Using GPU Services in Frontend
 
 The frontend has API routes that can connect to these services:
+- `/api/pygraphistry/*`: PyGraphistry integration
 - `/api/unified-gpu/*`: Unified GPU service integration
 
 To use these services, ensure they are running separately and configure the frontend environment variables accordingly.
 
-### Processing Graph Data
+### Mode-Specific Processing
 
 ```javascript
+// PyGraphistry Cloud mode
+const response = await fetch('/api/unified-gpu/visualize', {
+  method: 'POST',
+  headers: { 'Content-Type': 'application/json' },
+  body: JSON.stringify({
+    graph_data: { nodes, links },
+    processing_mode: 'pygraphistry_cloud',
+    layout_type: 'force',
+    clustering: true,
+    gpu_acceleration: true
+  })
+})
+
 // Local GPU mode  
 const response = await fetch('/api/unified-gpu/visualize', {
   method: 'POST',
@@ -129,20 +147,15 @@ const response = await fetch('/api/unified-gpu/visualize', {
     compute_centrality: true
   })
 })
-
-// Local CPU mode  
-const response = await fetch('/api/unified-gpu/visualize', {
-  method: 'POST',
-  headers: { 'Content-Type': 'application/json' },
-  body: JSON.stringify({
-    graph_data: { nodes, links },
-    processing_mode: 'local_cpu'
-  })
-})
 ```
 
 ## 🔧 Configuration Options
 
+### PyGraphistry Cloud Mode
+- `layout_type`: "force", "circular", "hierarchical"
+- `gpu_acceleration`: true/false
+- `clustering`: true/false
+
 ### Local GPU Mode  
 - `layout_algorithm`: "force_atlas2", "spectral", "fruchterman_reingold"
 - `clustering_algorithm`: "leiden", "louvain", "spectral"
@@ -159,7 +172,8 @@ const response = await fetch('/api/unified-gpu/visualize', {
   "processed_nodes": [...],
   "processed_edges": [...],
   "processing_mode": "local_gpu",
-  "layout_positions": {...},
+  "embed_url": "https://hub.graphistry.com/...", // Only for cloud mode
+  "layout_positions": {...}, // Only for local GPU mode
   "clusters": {...},
   "centrality": {...},
   "stats": {
@@ -173,17 +187,18 @@ const response = await fetch('/api/unified-gpu/visualize', {
 }
 ```
 
-## 🚀 Benefits
+## 🚀 Benefits of Unified Approach
 
 ### ✅ Advantages
 - **Single service** - One port, one deployment
 - **Mode switching** - Choose best processing per graph
 - **Fallback handling** - Graceful degradation if GPU unavailable  
 - **Consistent API** - Same interface for all modes
-- **No GPL dependencies** - All dependencies are permissively licensed
+- **Better testing** - Easy comparison between modes
 
 ### 🎯 Use Cases
-- **Local GPU**: Private data, large-scale processing, GPU-accelerated algorithms
+- **PyGraphistry Cloud**: Sharing visualizations, demos, production embeds
+- **Local GPU**: Private data, large-scale processing, custom algorithms
 - **Local CPU**: Development, testing, small graphs
 
 ## 🐛 Troubleshooting
@@ -197,6 +212,16 @@ nvidia-smi
 python -c "import cudf, cugraph; print('RAPIDS OK')"
 ```
 
+### PyGraphistry Credentials
+```bash
+# Verify credentials are set
+echo $GRAPHISTRY_PERSONAL_KEY
+echo $GRAPHISTRY_SECRET_KEY
+
+# Test connection
+python -c "import graphistry; graphistry.register(personal_key_id='$GRAPHISTRY_PERSONAL_KEY', personal_key_secret='$GRAPHISTRY_SECRET_KEY'); print('PyGraphistry OK')"
+```
+
 ### Service Health
 ```bash
 curl http://localhost:8080/api/health
@@ -204,13 +229,7 @@ curl http://localhost:8080/api/health
 
 ## 📈 Performance Tips
 
-1. **Large graphs (>100k nodes)**: Use `local_gpu` mode with RAPIDS cuGraph
-2. **Development**: Use `local_cpu` mode for speed and simplicity
-3. **Mixed workloads**: Switch modes dynamically based on graph size and GPU availability
-
-## 📝 License Compliance
-
-This service has been updated to remove all GPL-licensed dependencies:
-- ❌ Removed: `igraph` (GPL v2+)
-- ❌ Removed: `graphistry` with `compute_igraph` (uses igraph internally)
-- ✅ Uses only: NetworkX (BSD), cuGraph (Apache 2.0), NumPy (BSD), pandas (BSD) 
+1. **Large graphs (>100k nodes)**: Use `local_gpu` mode
+2. **Sharing/demos**: Use `pygraphistry_cloud` mode  
+3. **Development**: Use `local_cpu` mode for speed
+4. **Mixed workloads**: Switch modes dynamically based on graph size 

nvidia/txt2kg/assets/deploy/services/gpu-viz/local_gpu_viz_service.py

@@ -1,3 +1,19 @@
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 import os
 import json
 import numpy as np

nvidia/txt2kg/assets/deploy/services/gpu-viz/pygraphistry_service.py

@@ -0,0 +1,728 @@
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import graphistry
+import pandas as pd
+import numpy as np
+from typing import Dict, List, Any, Optional
+import asyncio
+import json
+from datetime import datetime
+import logging
+from fastapi import FastAPI, HTTPException, BackgroundTasks
+from pydantic import BaseModel
+import uvicorn
+import os
+import time
+from concurrent.futures import ThreadPoolExecutor
+import networkx as nx
+from enum import Enum
+
+# Configure logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+# Initialize PyGraphistry
+def init_graphistry():
+    """Initialize PyGraphistry with GPU acceleration"""
+    try:
+        # Set up authentication - check for different credential types
+        api_key = os.getenv('GRAPHISTRY_API_KEY')
+        personal_key = os.getenv('GRAPHISTRY_PERSONAL_KEY')
+        secret_key = os.getenv('GRAPHISTRY_SECRET_KEY')
+        username = os.getenv('GRAPHISTRY_USERNAME')
+        password = os.getenv('GRAPHISTRY_PASSWORD')
+        
+        if personal_key and secret_key:
+            # Configure for cloud API with personal key and secret
+            graphistry.register(
+                api=3, 
+                protocol="https", 
+                server="hub.graphistry.com", 
+                personal_key_id=personal_key,
+                personal_key_secret=secret_key
+            )
+            logger.info("PyGraphistry initialized with personal key/secret for cloud GPU acceleration")
+            return True
+        elif api_key:
+            # Configure for cloud API with API key
+            graphistry.register(api=3, protocol="https", server="hub.graphistry.com", api_key=api_key)
+            logger.info("PyGraphistry initialized with API key for cloud GPU acceleration")
+            return True
+        elif username and password:
+            # Configure for cloud API with username/password
+            graphistry.register(api=3, protocol="https", server="hub.graphistry.com", 
+                              username=username, password=password)
+            logger.info("PyGraphistry initialized with username/password for cloud GPU acceleration")
+            return True
+        else:
+            # Configure for local mode
+            graphistry.register(api=3)
+            logger.info("PyGraphistry initialized in local CPU mode")
+            return True
+            
+    except Exception as e:
+        logger.error(f"Failed to initialize PyGraphistry: {e}")
+        return False
+
+class GraphPattern(str, Enum):
+    RANDOM = "random"
+    SCALE_FREE = "scale-free"
+    SMALL_WORLD = "small-world"
+    CLUSTERED = "clustered"
+    HIERARCHICAL = "hierarchical"
+    GRID = "grid"
+
+class GraphData(BaseModel):
+    nodes: List[Dict[str, Any]]
+    links: List[Dict[str, Any]]
+
+class GraphGenerationRequest(BaseModel):
+    num_nodes: int
+    pattern: GraphPattern = GraphPattern.SCALE_FREE
+    avg_degree: Optional[int] = 5
+    num_clusters: Optional[int] = 100
+    small_world_k: Optional[int] = 6
+    small_world_p: Optional[float] = 0.1
+    grid_dimensions: Optional[List[int]] = [100, 100]
+    seed: Optional[int] = None
+    
+class VisualizationRequest(BaseModel):
+    graph_data: GraphData
+    layout_type: Optional[str] = "force"
+    gpu_acceleration: Optional[bool] = True
+    clustering: Optional[bool] = False
+    node_size_attribute: Optional[str] = None
+    node_color_attribute: Optional[str] = None
+    edge_weight_attribute: Optional[str] = None
+
+class GraphGenerationStatus(BaseModel):
+    task_id: str
+    status: str  # "running", "completed", "failed"
+    progress: float
+    message: str
+    result: Optional[Dict[str, Any]] = None
+    error: Optional[str] = None
+
+class LargeGraphGenerator:
+    """Optimized graph generation using NetworkX and NumPy for performance"""
+    
+    @staticmethod
+    def generate_random_graph(num_nodes: int, avg_degree: int = 5, seed: Optional[int] = None) -> GraphData:
+        """Generate random graph using Erdős–Rényi model"""
+        if seed:
+            np.random.seed(seed)
+            
+        # Calculate edge probability for desired average degree
+        p = avg_degree / (num_nodes - 1)
+        
+        # Use NetworkX for efficient generation
+        G = nx.erdos_renyi_graph(num_nodes, p, seed=seed)
+        
+        return LargeGraphGenerator._networkx_to_graphdata(G)
+    
+    @staticmethod
+    def generate_scale_free_graph(num_nodes: int, m: int = 3, seed: Optional[int] = None) -> GraphData:
+        """Generate scale-free graph using Barabási–Albert model"""
+        G = nx.barabasi_albert_graph(num_nodes, m, seed=seed)
+        return LargeGraphGenerator._networkx_to_graphdata(G)
+    
+    @staticmethod
+    def generate_small_world_graph(num_nodes: int, k: int = 6, p: float = 0.1, seed: Optional[int] = None) -> GraphData:
+        """Generate small-world graph using Watts-Strogatz model"""
+        G = nx.watts_strogatz_graph(num_nodes, k, p, seed=seed)
+        return LargeGraphGenerator._networkx_to_graphdata(G)
+    
+    @staticmethod
+    def generate_clustered_graph(num_nodes: int, num_clusters: int = 100, seed: Optional[int] = None) -> GraphData:
+        """Generate clustered graph with intra and inter-cluster connections"""
+        if seed:
+            np.random.seed(seed)
+            
+        cluster_size = num_nodes // num_clusters
+        G = nx.Graph()
+        
+        # Add nodes with cluster information
+        for i in range(num_nodes):
+            cluster_id = i // cluster_size
+            G.add_node(i, cluster=cluster_id)
+        
+        # Generate intra-cluster edges
+        intra_prob = 0.1
+        for cluster in range(num_clusters):
+            cluster_start = cluster * cluster_size
+            cluster_end = min(cluster_start + cluster_size, num_nodes)
+            cluster_nodes = list(range(cluster_start, cluster_end))
+            
+            # Create subgraph for cluster
+            cluster_subgraph = nx.erdos_renyi_graph(len(cluster_nodes), intra_prob)
+            
+            # Add edges to main graph with proper node mapping
+            for edge in cluster_subgraph.edges():
+                G.add_edge(cluster_nodes[edge[0]], cluster_nodes[edge[1]])
+        
+        # Generate inter-cluster edges
+        inter_prob = 0.001
+        for i in range(num_nodes):
+            for j in range(i + 1, num_nodes):
+                if G.nodes[i].get('cluster') != G.nodes[j].get('cluster'):
+                    if np.random.random() < inter_prob:
+                        G.add_edge(i, j)
+        
+        return LargeGraphGenerator._networkx_to_graphdata(G)
+    
+    @staticmethod
+    def generate_hierarchical_graph(num_nodes: int, branching_factor: int = 3, seed: Optional[int] = None) -> GraphData:
+        """Generate hierarchical (tree-like) graph"""
+        G = nx.random_tree(num_nodes, seed=seed)
+        
+        # Add some cross-links to make it more interesting
+        if seed:
+            np.random.seed(seed)
+        
+        # Add 10% additional edges for cross-connections
+        num_additional_edges = max(1, num_nodes // 10)
+        nodes = list(G.nodes())
+        
+        for _ in range(num_additional_edges):
+            u, v = np.random.choice(nodes, 2, replace=False)
+            if not G.has_edge(u, v):
+                G.add_edge(u, v)
+        
+        return LargeGraphGenerator._networkx_to_graphdata(G)
+    
+    @staticmethod
+    def generate_grid_graph(dimensions: List[int], seed: Optional[int] = None) -> GraphData:
+        """Generate 2D or 3D grid graph"""
+        if len(dimensions) == 2:
+            G = nx.grid_2d_graph(dimensions[0], dimensions[1])
+        elif len(dimensions) == 3:
+            G = nx.grid_graph(dimensions)
+        else:
+            raise ValueError("Grid dimensions must be 2D or 3D")
+        
+        # Convert coordinate tuples to integer node IDs
+        mapping = {node: i for i, node in enumerate(G.nodes())}
+        G = nx.relabel_nodes(G, mapping)
+        
+        return LargeGraphGenerator._networkx_to_graphdata(G)
+    
+    @staticmethod
+    def _networkx_to_graphdata(G: nx.Graph) -> GraphData:
+        """Convert NetworkX graph to GraphData format"""
+        nodes = []
+        links = []
+        
+        # Convert nodes
+        for node_id in G.nodes():
+            node_data = G.nodes[node_id]
+            node = {
+                "id": f"n{node_id}",
+                "name": f"Node {node_id}",
+                "val": np.random.randint(1, 11),
+                "degree": G.degree(node_id)
+            }
+            
+            # Add cluster information if available
+            if 'cluster' in node_data:
+                node['group'] = f"cluster_{node_data['cluster']}"
+            else:
+                node['group'] = f"group_{node_id % 10}"
+                
+            nodes.append(node)
+        
+        # Convert edges
+        for edge in G.edges():
+            link = {
+                "source": f"n{edge[0]}",
+                "target": f"n{edge[1]}",
+                "name": f"link_{edge[0]}_{edge[1]}",
+                "weight": np.random.uniform(0.1, 5.0)
+            }
+            links.append(link)
+        
+        return GraphData(nodes=nodes, links=links)
+
+class PyGraphistryService:
+    def __init__(self):
+        self.initialized = init_graphistry()
+        self.generation_tasks = {}  # Store background tasks
+        self.executor = ThreadPoolExecutor(max_workers=4)
+        
+    async def generate_graph_async(self, request: GraphGenerationRequest, task_id: str):
+        """Generate graph asynchronously"""
+        try:
+            self.generation_tasks[task_id] = GraphGenerationStatus(
+                task_id=task_id,
+                status="running",
+                progress=0.0,
+                message="Starting graph generation..."
+            )
+            
+            start_time = time.time()
+            
+            # Update progress
+            self.generation_tasks[task_id].progress = 10.0
+            self.generation_tasks[task_id].message = f"Generating {request.pattern.value} graph with {request.num_nodes} nodes..."
+            
+            # Generate graph based on pattern
+            if request.pattern == GraphPattern.RANDOM:
+                graph_data = LargeGraphGenerator.generate_random_graph(
+                    request.num_nodes, request.avg_degree, request.seed
+                )
+            elif request.pattern == GraphPattern.SCALE_FREE:
+                m = min(request.avg_degree, request.num_nodes - 1) if request.avg_degree else 3
+                graph_data = LargeGraphGenerator.generate_scale_free_graph(
+                    request.num_nodes, m, request.seed
+                )
+            elif request.pattern == GraphPattern.SMALL_WORLD:
+                graph_data = LargeGraphGenerator.generate_small_world_graph(
+                    request.num_nodes, 
+                    request.small_world_k or 6, 
+                    request.small_world_p or 0.1, 
+                    request.seed
+                )
+            elif request.pattern == GraphPattern.CLUSTERED:
+                graph_data = LargeGraphGenerator.generate_clustered_graph(
+                    request.num_nodes, request.num_clusters or 100, request.seed
+                )
+            elif request.pattern == GraphPattern.HIERARCHICAL:
+                graph_data = LargeGraphGenerator.generate_hierarchical_graph(
+                    request.num_nodes, seed=request.seed
+                )
+            elif request.pattern == GraphPattern.GRID:
+                # Calculate grid dimensions for given number of nodes
+                if request.grid_dimensions:
+                    dimensions = request.grid_dimensions
+                else:
+                    side_length = int(np.sqrt(request.num_nodes))
+                    dimensions = [side_length, side_length]
+                graph_data = LargeGraphGenerator.generate_grid_graph(dimensions, request.seed)
+            else:
+                raise ValueError(f"Unknown graph pattern: {request.pattern}")
+            
+            # Update progress
+            self.generation_tasks[task_id].progress = 80.0
+            self.generation_tasks[task_id].message = "Computing graph statistics..."
+            
+            # Calculate statistics
+            generation_time = time.time() - start_time
+            stats = {
+                "node_count": len(graph_data.nodes),
+                "edge_count": len(graph_data.links),
+                "generation_time": generation_time,
+                "density": len(graph_data.links) / (len(graph_data.nodes) * (len(graph_data.nodes) - 1) / 2) if len(graph_data.nodes) > 1 else 0,
+                "avg_degree": 2 * len(graph_data.links) / len(graph_data.nodes) if len(graph_data.nodes) > 0 else 0,
+                "pattern": request.pattern.value,
+                "parameters": request.model_dump()
+            }
+            
+            # Complete task
+            self.generation_tasks[task_id].status = "completed"
+            self.generation_tasks[task_id].progress = 100.0
+            self.generation_tasks[task_id].message = f"Generated {stats['node_count']} nodes and {stats['edge_count']} edges in {generation_time:.2f}s"
+            self.generation_tasks[task_id].result = {
+                "graph_data": graph_data.model_dump(),
+                "stats": stats
+            }
+            
+            logger.info(f"Graph generation completed for task {task_id}: {stats}")
+            
+        except Exception as e:
+            logger.error(f"Graph generation failed for task {task_id}: {e}")
+            self.generation_tasks[task_id].status = "failed"
+            self.generation_tasks[task_id].error = str(e)
+            self.generation_tasks[task_id].message = f"Generation failed: {e}"
+    
+    async def start_graph_generation(self, request: GraphGenerationRequest) -> str:
+        """Start graph generation as background task"""
+        task_id = f"gen_{int(time.time() * 1000)}"
+        
+        # Run generation in thread pool to avoid blocking
+        loop = asyncio.get_event_loop()
+        loop.run_in_executor(
+            self.executor,
+            lambda: asyncio.run(self.generate_graph_async(request, task_id))
+        )
+        
+        return task_id
+    
+    def get_generation_status(self, task_id: str) -> Optional[GraphGenerationStatus]:
+        """Get status of graph generation task"""
+        return self.generation_tasks.get(task_id)
+        
+    async def process_graph_data(self, request: VisualizationRequest) -> Dict[str, Any]:
+        """Process graph data with PyGraphistry GPU acceleration"""
+        try:
+            if not self.initialized:
+                raise HTTPException(status_code=500, detail="PyGraphistry not initialized")
+            
+            # Convert to pandas DataFrames for PyGraphistry
+            nodes_df = pd.DataFrame(request.graph_data.nodes)
+            edges_df = pd.DataFrame(request.graph_data.links)
+            
+            # Ensure required columns exist
+            if 'id' not in nodes_df.columns:
+                nodes_df['id'] = nodes_df.index
+            if 'source' not in edges_df.columns or 'target' not in edges_df.columns:
+                raise HTTPException(status_code=400, detail="Links must have source and target columns")
+                
+            logger.info(f"Processing graph with {len(nodes_df)} nodes and {len(edges_df)} edges")
+            
+            # Create PyGraphistry graph object
+            try:
+                g = graphistry.edges(edges_df, 'source', 'target').nodes(nodes_df, 'id')
+                logger.info(f"Created PyGraphistry graph object")
+            except Exception as e:
+                logger.error(f"Failed to create PyGraphistry graph: {e}")
+                raise HTTPException(status_code=500, detail=f"Graph creation failed: {e}")
+            
+            # Apply GPU-accelerated processing
+            if request.gpu_acceleration:
+                g = await self._apply_gpu_acceleration(g, request)
+            
+            # Apply clustering if requested
+            if request.clustering:
+                g = await self._apply_clustering(g)
+            
+            # Generate layout
+            g = await self._generate_layout(g, request.layout_type)
+            
+            # Extract processed data
+            try:
+                processed_nodes = g._nodes.to_dict('records') if g._nodes is not None else nodes_df.to_dict('records')
+                processed_edges = g._edges.to_dict('records') if g._edges is not None else edges_df.to_dict('records')
+                logger.info(f"Extracted {len(processed_nodes)} nodes and {len(processed_edges)} edges")
+            except Exception as e:
+                logger.warning(f"Data extraction failed, using original data: {e}")
+                processed_nodes = nodes_df.to_dict('records')
+                processed_edges = edges_df.to_dict('records')
+            
+            # Generate embedding URL for interactive visualization
+            embed_url = None
+            local_viz_data = None
+            
+            try:
+                embed_url = g.plot(render=False)
+                logger.info(f"Generated PyGraphistry embed URL: {embed_url}")
+            except Exception as e:
+                logger.warning(f"Could not generate embed URL (likely running in local mode): {e}")
+                
+                # Create local visualization data as fallback
+                try:
+                    local_viz_data = self._create_local_viz_data(g, processed_nodes, processed_edges)
+                    logger.info("Generated local visualization data as fallback")
+                except Exception as viz_e:
+                    logger.warning(f"Could not generate local visualization data: {viz_e}")
+            
+            return {
+                "processed_nodes": processed_nodes,
+                "processed_edges": processed_edges,
+                "embed_url": embed_url,
+                "local_viz_data": local_viz_data,
+                "stats": {
+                    "node_count": len(processed_nodes),
+                    "edge_count": len(processed_edges),
+                    "gpu_accelerated": request.gpu_acceleration,
+                    "clustered": request.clustering,
+                    "layout_type": request.layout_type,
+                    "has_embed_url": embed_url is not None,
+                    "has_local_viz": local_viz_data is not None
+                },
+                "timestamp": datetime.now().isoformat()
+            }
+            
+        except Exception as e:
+            logger.error(f"Error processing graph data: {e}")
+            raise HTTPException(status_code=500, detail=str(e))
+    
+    async def _apply_gpu_acceleration(self, g, request: VisualizationRequest):
+        """Apply GPU acceleration using PyGraphistry's vector processing"""
+        try:
+            if not request.gpu_acceleration:
+                logger.info("GPU acceleration disabled by request")
+                return g
+                
+            logger.info("=== GPU ACCELERATION ATTEMPT ===")
+            logger.info(f"PyGraphistry object type: {type(g)}")
+            logger.info(f"Available methods: {[method for method in dir(g) if not method.startswith('_')]}")
+            
+            # Check what GPU methods are actually available
+            has_compute_igraph = hasattr(g, 'compute_igraph')
+            has_umap = hasattr(g, 'umap')
+            logger.info(f"Has compute_igraph: {has_compute_igraph}")
+            logger.info(f"Has UMAP: {has_umap}")
+            
+            gpu_operations_successful = 0
+            total_gpu_operations = 0
+            
+            # Compute centrality measures if available
+            total_gpu_operations += 1
+            try:
+                if has_compute_igraph and len(g._nodes) < 50000:  # Limit for performance
+                    logger.info("Attempting PageRank computation...")
+                    g = g.compute_igraph('pagerank', out_col='pagerank')
+                    logger.info("✓ SUCCESS: Computed PageRank centrality with GPU")
+                    gpu_operations_successful += 1
+                else:
+                    reason = "too many nodes" if len(g._nodes) >= 50000 else "compute_igraph not available"
+                    logger.warning(f"✗ SKIPPED: PageRank computation ({reason})")
+            except Exception as e:
+                logger.warning(f"✗ FAILED: PageRank computation failed: {e}")
+                
+            # Apply UMAP for node positioning if available and beneficial
+            total_gpu_operations += 1
+            try:
+                if has_umap and len(g._nodes) > 100 and len(g._nodes) < 10000:
+                    logger.info("Attempting UMAP for node positioning...")
+                    g = g.umap()
+                    logger.info("✓ SUCCESS: Applied UMAP for node positioning")
+                    gpu_operations_successful += 1
+                else:
+                    reason = ("UMAP not available" if not has_umap else 
+                             "too few nodes" if len(g._nodes) <= 100 else "too many nodes")
+                    logger.warning(f"✗ SKIPPED: UMAP processing ({reason})")
+            except Exception as e:
+                logger.warning(f"✗ FAILED: UMAP processing failed: {e}")
+                
+            logger.info(f"=== GPU ACCELERATION SUMMARY ===")
+            logger.info(f"GPU operations successful: {gpu_operations_successful}/{total_gpu_operations}")
+            logger.info(f"GPU utilization: {(gpu_operations_successful/total_gpu_operations)*100:.1f}%")
+            
+            return g
+        except Exception as e:
+            logger.warning(f"GPU acceleration failed completely, falling back to CPU: {e}")
+            return g
+    
+    async def _apply_clustering(self, g):
+        """Apply GPU-accelerated clustering"""
+        try:
+            logger.info("=== CLUSTERING ATTEMPT ===")
+            
+            # Use PyGraphistry's built-in clustering if available
+            if hasattr(g, 'compute_igraph') and len(g._nodes) < 20000:  # Limit for performance
+                logger.info("Attempting Leiden community detection...")
+                try:
+                    g = g.compute_igraph('community_leiden', out_col='cluster')
+                    logger.info("✓ SUCCESS: Applied Leiden community detection")
+                    return g
+                except Exception as e:
+                    logger.warning(f"✗ FAILED: Leiden clustering failed: {e}")
+                    logger.info("Attempting Louvain community detection as fallback...")
+                    try:
+                        g = g.compute_igraph('community_louvain', out_col='cluster') 
+                        logger.info("✓ SUCCESS: Applied Louvain community detection")
+                        return g
+                    except Exception as e2:
+                        logger.warning(f"✗ FAILED: Louvain clustering also failed: {e2}")
+            else:
+                reason = "too many nodes" if len(g._nodes) >= 20000 else "compute_igraph not available"
+                logger.warning(f"✗ SKIPPED: Clustering ({reason})")
+            
+            logger.info("=== CLUSTERING SUMMARY: No clustering applied ===")
+            return g
+        except Exception as e:
+            logger.warning(f"Clustering failed completely: {e}")
+            return g
+    
+    async def _generate_layout(self, g, layout_type: str = "force"):
+        """Generate layout using PyGraphistry's algorithms"""
+        try:
+            logger.info(f"Generating {layout_type} layout")
+            
+            # Only apply layout computation for reasonable graph sizes
+            if len(g._nodes) > 50000:
+                logger.info("Skipping layout computation for very large graph")
+                return g
+            
+            if hasattr(g, 'compute_igraph'):
+                try:
+                    if layout_type == "force":
+                        g = g.compute_igraph('layout_fruchterman_reingold', out_cols=['x', 'y'])
+                        logger.info("Applied Fruchterman-Reingold force layout")
+                    elif layout_type == "circular":
+                        g = g.compute_igraph('layout_circle', out_cols=['x', 'y'])
+                        logger.info("Applied circular layout")
+                    elif layout_type == "hierarchical":
+                        g = g.compute_igraph('layout_sugiyama', out_cols=['x', 'y'])
+                        logger.info("Applied hierarchical layout")
+                    else:
+                        # Default to force-directed
+                        g = g.compute_igraph('layout_fruchterman_reingold', out_cols=['x', 'y'])
+                        logger.info("Applied default force layout")
+                except Exception as e:
+                    logger.warning(f"Layout computation failed: {e}")
+            else:
+                logger.info("Layout computation not available, using default positioning")
+                
+            return g
+        except Exception as e:
+            logger.warning(f"Layout generation failed: {e}")
+            return g
+    
+    def _create_local_viz_data(self, g, processed_nodes: List[Dict], processed_edges: List[Dict]) -> Dict[str, Any]:
+        """Create local visualization data when embed URL cannot be generated"""
+        try:
+            # Extract layout positions if available
+            positions = {}
+            if g._nodes is not None and 'x' in g._nodes.columns and 'y' in g._nodes.columns:
+                for _, row in g._nodes.iterrows():
+                    node_id = row.get('id', row.name)
+                    positions[str(node_id)] = {
+                        'x': float(row['x']) if pd.notna(row['x']) else 0,
+                        'y': float(row['y']) if pd.notna(row['y']) else 0
+                    }
+            
+            # Add cluster information if available
+            clusters = {}
+            if g._nodes is not None and 'cluster' in g._nodes.columns:
+                for _, row in g._nodes.iterrows():
+                    node_id = row.get('id', row.name)
+                    if pd.notna(row['cluster']):
+                        clusters[str(node_id)] = int(row['cluster'])
+            
+            # Create enhanced nodes with layout and cluster info
+            enhanced_nodes = []
+            for node in processed_nodes:
+                enhanced_node = node.copy()
+                node_id = str(node.get('id', ''))
+                
+                if node_id in positions:
+                    enhanced_node.update(positions[node_id])
+                    
+                if node_id in clusters:
+                    enhanced_node['cluster'] = clusters[node_id]
+                    
+                enhanced_nodes.append(enhanced_node)
+            
+            return {
+                "nodes": enhanced_nodes,
+                "edges": processed_edges,
+                "positions": positions,
+                "clusters": clusters,
+                "layout_computed": len(positions) > 0,
+                "clusters_computed": len(clusters) > 0
+            }
+            
+        except Exception as e:
+            logger.error(f"Failed to create local visualization data: {e}")
+            return {
+                "nodes": processed_nodes,
+                "edges": processed_edges,
+                "positions": {},
+                "clusters": {},
+                "layout_computed": False,
+                "clusters_computed": False
+            }
+    
+    async def get_graph_stats(self, graph_data: GraphData) -> Dict[str, Any]:
+        """Get GPU-accelerated graph statistics"""
+        try:
+            nodes_df = pd.DataFrame(graph_data.nodes)
+            edges_df = pd.DataFrame(graph_data.links)
+            
+            g = graphistry.edges(edges_df, 'source', 'target').nodes(nodes_df, 'id')
+            
+            # Compute various graph metrics using GPU acceleration
+            stats = {
+                "node_count": len(nodes_df),
+                "edge_count": len(edges_df),
+                "density": len(edges_df) / (len(nodes_df) * (len(nodes_df) - 1)) if len(nodes_df) > 1 else 0,
+                "timestamp": datetime.now().isoformat()
+            }
+            
+            # Add centrality measures if possible
+            try:
+                if len(nodes_df) < 10000 and hasattr(g, 'compute_igraph'):  # Only for reasonably sized graphs
+                    g_with_metrics = g.compute_igraph('pagerank', out_col='pagerank')
+                    
+                    if g_with_metrics._nodes is not None and 'pagerank' in g_with_metrics._nodes.columns:
+                        pagerank_data = g_with_metrics._nodes['pagerank'].to_list()
+                        stats.update({
+                            "avg_pagerank": float(np.mean(pagerank_data)),
+                            "max_pagerank": float(np.max(pagerank_data))
+                        })
+                        logger.info("Computed PageRank statistics")
+            except Exception as e:
+                logger.warning(f"Could not compute centrality measures: {e}")
+            
+            return stats
+            
+        except Exception as e:
+            logger.error(f"Error computing graph stats: {e}")
+            raise HTTPException(status_code=500, detail=str(e))
+
+# FastAPI app
+app = FastAPI(title="PyGraphistry GPU Visualization Service", version="1.0.0")
+service = PyGraphistryService()
+
+@app.post("/api/generate")
+async def generate_graph(request: GraphGenerationRequest):
+    """Start graph generation as background task"""
+    if request.num_nodes > 1000000:
+        raise HTTPException(status_code=400, detail="Maximum 1 million nodes allowed")
+        
+    task_id = await service.start_graph_generation(request)
+    return {"task_id": task_id, "status": "started"}
+
+@app.get("/api/generate/{task_id}")
+async def get_generation_status(task_id: str):
+    """Get status of graph generation task"""
+    status = service.get_generation_status(task_id)
+    if not status:
+        raise HTTPException(status_code=404, detail="Task not found")
+    return status
+
+@app.post("/api/visualize")
+async def visualize_graph(request: VisualizationRequest):
+    """Process graph data with PyGraphistry GPU acceleration"""
+    return await service.process_graph_data(request)
+
+@app.post("/api/stats")
+async def get_graph_statistics(graph_data: GraphData):
+    """Get GPU-accelerated graph statistics"""
+    return await service.get_graph_stats(graph_data)
+
+@app.get("/api/health")
+async def health_check():
+    """Health check endpoint"""
+    return {
+        "status": "healthy",
+        "pygraphistry_initialized": service.initialized,
+        "timestamp": datetime.now().isoformat()
+    }
+
+@app.get("/api/patterns")
+async def get_available_patterns():
+    """Get list of available graph generation patterns"""
+    return {
+        "patterns": [
+            {
+                "name": pattern.value,
+                "description": {
+                    GraphPattern.RANDOM: "Random graph using Erdős–Rényi model",
+                    GraphPattern.SCALE_FREE: "Scale-free graph using Barabási–Albert model",
+                    GraphPattern.SMALL_WORLD: "Small-world graph using Watts-Strogatz model",
+                    GraphPattern.CLUSTERED: "Clustered graph with community structure",
+                    GraphPattern.HIERARCHICAL: "Hierarchical tree-like graph with cross-links",
+                    GraphPattern.GRID: "2D or 3D grid graph"
+                }[pattern]
+            } for pattern in GraphPattern
+        ]
+    }
+
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=8080) 

nvidia/txt2kg/assets/deploy/services/gpu-viz/remote_gpu_rendering_service.py

@@ -1,4 +1,20 @@
 #!/usr/bin/env python3
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 """
 Remote GPU Rendering Service
 

nvidia/txt2kg/assets/deploy/services/gpu-viz/remote_webgpu_clustering_service.py

@@ -1,4 +1,20 @@
 #!/usr/bin/env python3
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 """
 Remote WebGPU Clustering Service - CuPy Version with Semantic Clustering
 

nvidia/txt2kg/assets/deploy/services/gpu-viz/remote_webgpu_clustering_service_cupy.py

@@ -1,4 +1,20 @@
 #!/usr/bin/env python3
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 """
 Remote WebGPU Clustering Service - CuPy Version
 

nvidia/txt2kg/assets/deploy/services/gpu-viz/requirements.txt

@@ -1,3 +1,4 @@
+graphistry>=0.32.0
 pandas>=2.0.0
 numpy>=1.24.0
 fastapi>=0.104.0
@@ -6,6 +7,7 @@ pydantic>=2.0.0
 networkx>=3.0  # For efficient graph generation algorithms
 # cudf, cuml, cugraph are already included in PyG container
 # cupy>=12.0.0  # Already included in PyG container
+igraph>=0.10.0  # For additional graph algorithms
 scikit-learn>=1.3.0  # For additional ML features
 requests>=2.31.0
 aiofiles>=23.0.0

nvidia/txt2kg/assets/deploy/services/gpu-viz/semantic_clustering_service.py

@@ -1,3 +1,19 @@
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 """
 Semantic Clustering Service for Knowledge Graphs
 Groups nodes by semantic similarity of names, types, and content rather than just spatial coordinates

nvidia/txt2kg/assets/deploy/services/gpu-viz/simple_webgpu_test.py

@@ -1,4 +1,20 @@
 #!/usr/bin/env python3
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 """
 Simple WebGPU clustering test service
 Minimal implementation to test basic functionality

nvidia/txt2kg/assets/deploy/services/gpu-viz/start_remote_gpu_services.sh

@@ -1,4 +1,20 @@
 #!/bin/bash
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 
 # Start Remote GPU Rendering Services
 # This script starts the custom remote GPU rendering service as an alternative to PyGraphistry cloud

nvidia/txt2kg/assets/deploy/services/gpu-viz/stop_remote_gpu_services.sh

@@ -1,4 +1,20 @@
 #!/bin/bash
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 
 # Stop Remote GPU Rendering Services
 

nvidia/txt2kg/assets/deploy/services/gpu-viz/unified_gpu_service.py

@@ -1,8 +1,25 @@
 #!/usr/bin/env python3
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 """
 Unified GPU Graph Visualization Service
 
-Provides local GPU processing with cuGraph and CPU fallback with NetworkX.
+Combines PyGraphistry cloud processing and local GPU processing with cuGraph
+into a single FastAPI service for maximum flexibility.
 """
 
 import os
@@ -22,6 +39,9 @@ from concurrent.futures import ThreadPoolExecutor
 import networkx as nx
 from enum import Enum
 
+# PyGraphistry imports
+import graphistry
+
 # GPU-accelerated imports (available in NVIDIA PyG container)
 try:
     import cudf
@@ -48,6 +68,7 @@ logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
 class ProcessingMode(str, Enum):
+    PYGRAPHISTRY_CLOUD = "pygraphistry_cloud"
     LOCAL_GPU = "local_gpu" 
     LOCAL_CPU = "local_cpu"
 
@@ -75,7 +96,12 @@ class GraphGenerationRequest(BaseModel):
 
 class UnifiedVisualizationRequest(BaseModel):
     graph_data: GraphData
-    processing_mode: ProcessingMode = ProcessingMode.LOCAL_GPU
+    processing_mode: ProcessingMode = ProcessingMode.PYGRAPHISTRY_CLOUD
+    
+    # PyGraphistry Cloud options
+    layout_type: Optional[str] = "force"
+    gpu_acceleration: Optional[bool] = True  
+    clustering: Optional[bool] = False
     
     # Local GPU options
     layout_algorithm: Optional[str] = "force_atlas2"
@@ -90,144 +116,8 @@ class GraphGenerationStatus(BaseModel):
     result: Optional[Dict[str, Any]] = None
     error: Optional[str] = None
 
-class LargeGraphGenerator:
-    """Optimized graph generation using NetworkX and NumPy for performance"""
-    
-    @staticmethod
-    def generate_random_graph(num_nodes: int, avg_degree: int = 5, seed: Optional[int] = None) -> GraphData:
-        """Generate random graph using Erdős–Rényi model"""
-        if seed:
-            np.random.seed(seed)
-            
-        # Calculate edge probability for desired average degree
-        p = avg_degree / (num_nodes - 1)
-        
-        # Use NetworkX for efficient generation
-        G = nx.erdos_renyi_graph(num_nodes, p, seed=seed)
-        
-        return LargeGraphGenerator._networkx_to_graphdata(G)
-    
-    @staticmethod
-    def generate_scale_free_graph(num_nodes: int, m: int = 3, seed: Optional[int] = None) -> GraphData:
-        """Generate scale-free graph using Barabási–Albert model"""
-        G = nx.barabasi_albert_graph(num_nodes, m, seed=seed)
-        return LargeGraphGenerator._networkx_to_graphdata(G)
-    
-    @staticmethod
-    def generate_small_world_graph(num_nodes: int, k: int = 6, p: float = 0.1, seed: Optional[int] = None) -> GraphData:
-        """Generate small-world graph using Watts-Strogatz model"""
-        G = nx.watts_strogatz_graph(num_nodes, k, p, seed=seed)
-        return LargeGraphGenerator._networkx_to_graphdata(G)
-    
-    @staticmethod
-    def generate_clustered_graph(num_nodes: int, num_clusters: int = 100, seed: Optional[int] = None) -> GraphData:
-        """Generate clustered graph with intra and inter-cluster connections"""
-        if seed:
-            np.random.seed(seed)
-            
-        cluster_size = num_nodes // num_clusters
-        G = nx.Graph()
-        
-        # Add nodes with cluster information
-        for i in range(num_nodes):
-            cluster_id = i // cluster_size
-            G.add_node(i, cluster=cluster_id)
-        
-        # Generate intra-cluster edges
-        intra_prob = 0.1
-        for cluster in range(num_clusters):
-            cluster_start = cluster * cluster_size
-            cluster_end = min(cluster_start + cluster_size, num_nodes)
-            cluster_nodes = list(range(cluster_start, cluster_end))
-            
-            # Create subgraph for cluster
-            cluster_subgraph = nx.erdos_renyi_graph(len(cluster_nodes), intra_prob)
-            
-            # Add edges to main graph with proper node mapping
-            for edge in cluster_subgraph.edges():
-                G.add_edge(cluster_nodes[edge[0]], cluster_nodes[edge[1]])
-        
-        # Generate inter-cluster edges
-        inter_prob = 0.001
-        for i in range(num_nodes):
-            for j in range(i + 1, num_nodes):
-                if G.nodes[i].get('cluster') != G.nodes[j].get('cluster'):
-                    if np.random.random() < inter_prob:
-                        G.add_edge(i, j)
-        
-        return LargeGraphGenerator._networkx_to_graphdata(G)
-    
-    @staticmethod
-    def generate_hierarchical_graph(num_nodes: int, branching_factor: int = 3, seed: Optional[int] = None) -> GraphData:
-        """Generate hierarchical (tree-like) graph"""
-        G = nx.random_tree(num_nodes, seed=seed)
-        
-        # Add some cross-links to make it more interesting
-        if seed:
-            np.random.seed(seed)
-        
-        # Add 10% additional edges for cross-connections
-        num_additional_edges = max(1, num_nodes // 10)
-        nodes = list(G.nodes())
-        
-        for _ in range(num_additional_edges):
-            u, v = np.random.choice(nodes, 2, replace=False)
-            if not G.has_edge(u, v):
-                G.add_edge(u, v)
-        
-        return LargeGraphGenerator._networkx_to_graphdata(G)
-    
-    @staticmethod
-    def generate_grid_graph(dimensions: List[int], seed: Optional[int] = None) -> GraphData:
-        """Generate 2D or 3D grid graph"""
-        if len(dimensions) == 2:
-            G = nx.grid_2d_graph(dimensions[0], dimensions[1])
-        elif len(dimensions) == 3:
-            G = nx.grid_graph(dimensions)
-        else:
-            raise ValueError("Grid dimensions must be 2D or 3D")
-        
-        # Convert coordinate tuples to integer node IDs
-        mapping = {node: i for i, node in enumerate(G.nodes())}
-        G = nx.relabel_nodes(G, mapping)
-        
-        return LargeGraphGenerator._networkx_to_graphdata(G)
-    
-    @staticmethod
-    def _networkx_to_graphdata(G: nx.Graph) -> GraphData:
-        """Convert NetworkX graph to GraphData format"""
-        nodes = []
-        links = []
-        
-        # Convert nodes
-        for node_id in G.nodes():
-            node_data = G.nodes[node_id]
-            node = {
-                "id": f"n{node_id}",
-                "name": f"Node {node_id}",
-                "val": np.random.randint(1, 11),
-                "degree": G.degree(node_id)
-            }
-            
-            # Add cluster information if available
-            if 'cluster' in node_data:
-                node['group'] = f"cluster_{node_data['cluster']}"
-            else:
-                node['group'] = f"group_{node_id % 10}"
-                
-            nodes.append(node)
-        
-        # Convert edges
-        for edge in G.edges():
-            link = {
-                "source": f"n{edge[0]}",
-                "target": f"n{edge[1]}",
-                "name": f"link_{edge[0]}_{edge[1]}",
-                "weight": np.random.uniform(0.1, 5.0)
-            }
-            links.append(link)
-        
-        return GraphData(nodes=nodes, links=links)
+# Import graph generation classes (keeping existing code)
+from pygraphistry_service import LargeGraphGenerator, init_graphistry
 
 class LocalGPUProcessor:
     """GPU-accelerated graph processing using cuGraph"""
@@ -333,10 +223,109 @@ class LocalGPUProcessor:
             logger.error(f"GPU centrality computation failed: {e}")
             return {}
 
-class UnifiedGPUService:
-    """Unified service offering local GPU and CPU processing"""
+class PyGraphistryProcessor:
+    """PyGraphistry cloud processing (existing functionality)"""
     
     def __init__(self):
+        self.initialized = init_graphistry()
+    
+    async def process_graph_data(self, request: UnifiedVisualizationRequest) -> Dict[str, Any]:
+        """Process graph data with PyGraphistry GPU acceleration"""
+        try:
+            if not self.initialized:
+                raise HTTPException(status_code=500, detail="PyGraphistry not initialized")
+            
+            # Convert to pandas DataFrames for PyGraphistry
+            nodes_df = pd.DataFrame(request.graph_data.nodes)
+            edges_df = pd.DataFrame(request.graph_data.links)
+            
+            # Ensure required columns exist
+            if 'id' not in nodes_df.columns:
+                nodes_df['id'] = nodes_df.index
+            if 'source' not in edges_df.columns or 'target' not in edges_df.columns:
+                raise HTTPException(status_code=400, detail="Links must have source and target columns")
+                
+            logger.info(f"Processing graph with {len(nodes_df)} nodes and {len(edges_df)} edges")
+            
+            # Create PyGraphistry graph object
+            g = graphistry.edges(edges_df, 'source', 'target').nodes(nodes_df, 'id')
+            
+            # Apply GPU-accelerated processing
+            if request.gpu_acceleration:
+                g = await self._apply_gpu_acceleration(g, request)
+            
+            # Apply clustering if requested
+            if request.clustering:
+                g = await self._apply_clustering(g)
+            
+            # Generate layout
+            g = await self._generate_layout(g, request.layout_type)
+            
+            # Extract processed data
+            processed_nodes = g._nodes.to_dict('records') if g._nodes is not None else nodes_df.to_dict('records')
+            processed_edges = g._edges.to_dict('records') if g._edges is not None else edges_df.to_dict('records')
+            
+            # Generate embedding URL for interactive visualization
+            embed_url = None
+            local_viz_data = None
+            
+            try:
+                embed_url = g.plot(render=False)
+                logger.info(f"Generated PyGraphistry embed URL: {embed_url}")
+            except Exception as e:
+                logger.warning(f"Could not generate embed URL (likely running in local mode): {e}")
+                
+                # Create local visualization data as fallback
+                try:
+                    local_viz_data = self._create_local_viz_data(g, processed_nodes, processed_edges)
+                    logger.info("Generated local visualization data as fallback")
+                except Exception as viz_e:
+                    logger.warning(f"Could not generate local visualization data: {viz_e}")
+            
+            return {
+                "processed_nodes": processed_nodes,
+                "processed_edges": processed_edges,
+                "embed_url": embed_url,
+                "local_viz_data": local_viz_data,
+                "processing_mode": ProcessingMode.PYGRAPHISTRY_CLOUD,
+                "stats": {
+                    "node_count": len(processed_nodes),
+                    "edge_count": len(processed_edges),
+                    "gpu_accelerated": request.gpu_acceleration,
+                    "clustered": request.clustering,
+                    "layout_type": request.layout_type,
+                    "has_embed_url": embed_url is not None,
+                    "has_local_viz": local_viz_data is not None
+                },
+                "timestamp": datetime.now().isoformat()
+            }
+            
+        except Exception as e:
+            logger.error(f"Error processing graph data: {e}")
+            raise HTTPException(status_code=500, detail=str(e))
+    
+    # ... (include other PyGraphistry methods from original service)
+    async def _apply_gpu_acceleration(self, g, request):
+        # Implementation from original service
+        pass
+    
+    async def _apply_clustering(self, g):
+        # Implementation from original service  
+        pass
+    
+    async def _generate_layout(self, g, layout_type):
+        # Implementation from original service
+        pass
+    
+    def _create_local_viz_data(self, g, processed_nodes, processed_edges):
+        # Implementation from original service
+        pass
+
+class UnifiedGPUService:
+    """Unified service offering both PyGraphistry cloud and local GPU processing"""
+    
+    def __init__(self):
+        self.pygraphistry_processor = PyGraphistryProcessor()
         self.local_gpu_processor = LocalGPUProcessor()
         self.generation_tasks = {}
         self.executor = ThreadPoolExecutor(max_workers=4)
@@ -345,8 +334,12 @@ class UnifiedGPUService:
     async def process_graph(self, request: UnifiedVisualizationRequest) -> Dict[str, Any]:
         """Process graph with selected processing mode"""
         
-        if request.processing_mode == ProcessingMode.LOCAL_GPU:
+        if request.processing_mode == ProcessingMode.PYGRAPHISTRY_CLOUD:
+            return await self.pygraphistry_processor.process_graph_data(request)
+            
+        elif request.processing_mode == ProcessingMode.LOCAL_GPU:
             return await self._process_with_local_gpu(request)
+            
         else:  # LOCAL_CPU
             return await self._process_with_local_cpu(request)
     
@@ -458,7 +451,7 @@ service = UnifiedGPUService()
 
 @app.post("/api/visualize")
 async def visualize_graph(request: UnifiedVisualizationRequest):
-    """Process graph with unified service (supports local GPU and CPU modes)"""
+    """Process graph with unified service (supports all processing modes)"""
     result = await service.process_graph(request)
     
     # Broadcast to connected WebSocket clients
@@ -485,13 +478,17 @@ async def get_capabilities():
     """Get GPU capabilities and available processing modes"""
     return {
         "processing_modes": {
+            "pygraphistry_cloud": {
+                "available": service.pygraphistry_processor.initialized,
+                "description": "PyGraphistry cloud GPU processing with interactive embeds"
+            },
             "local_gpu": {
                 "available": HAS_RAPIDS,
                 "description": "Local GPU processing with cuGraph/RAPIDS"
             },
             "local_cpu": {
                 "available": True,
-                "description": "Local CPU fallback processing with NetworkX"
+                "description": "Local CPU fallback processing"
             }
         },
         "has_rapids": HAS_RAPIDS,
@@ -543,6 +540,7 @@ async def health_check():
     """Health check endpoint"""
     return {
         "status": "healthy",
+        "pygraphistry_initialized": service.pygraphistry_processor.initialized,
         "local_gpu_available": HAS_RAPIDS,
         "torch_geometric": HAS_TORCH_GEOMETRIC,
         "timestamp": datetime.now().isoformat()
@@ -573,6 +571,7 @@ async def get_visualization_page():
             <div>
                 <label>Processing Mode:</label>
                 <select id="processingMode">
+                    <option value="pygraphistry_cloud">PyGraphistry Cloud</option>
                     <option value="local_gpu">Local GPU (cuGraph)</option>
                     <option value="local_cpu">Local CPU</option>
                 </select>
@@ -757,8 +756,23 @@ def startup_diagnostics():
     else:
         print("⚠ PyTorch Geometric not available")
     
+    # Check PyGraphistry credentials
+    print("Checking PyGraphistry credentials...")
+    personal_key = os.getenv('GRAPHISTRY_PERSONAL_KEY')
+    secret_key = os.getenv('GRAPHISTRY_SECRET_KEY')
+    api_key = os.getenv('GRAPHISTRY_API_KEY')
+    
+    if personal_key and secret_key:
+        print("✓ PyGraphistry personal key/secret found")
+    elif api_key:
+        print("✓ PyGraphistry API key found")
+    else:
+        print("⚠ No PyGraphistry credentials found - cloud mode will be limited")
+        print("  Set GRAPHISTRY_PERSONAL_KEY + GRAPHISTRY_SECRET_KEY for full cloud features")
+    
     print("")
     print("🎯 Available Processing Modes:")
+    print("  ☁️  PyGraphistry Cloud - Interactive GPU embeds (requires credentials)")
     print("  🚀 Local GPU (cuGraph) - Full local GPU processing")
     print("  💻 Local CPU          - NetworkX fallback")
     print("")
@@ -772,4 +786,4 @@ def startup_diagnostics():
 
 if __name__ == "__main__":
     startup_diagnostics()
-    uvicorn.run(app, host="0.0.0.0", port=8080)
+    uvicorn.run(app, host="0.0.0.0", port=8080) 

nvidia/txt2kg/assets/deploy/services/gpu-viz/webgl_rendering_enhancement.py

@@ -1,3 +1,19 @@
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 # WebGL-Enhanced Remote GPU Rendering Service
 # Using Three.js for GPU-accelerated visualization
 

nvidia/txt2kg/assets/deploy/services/ollama/Dockerfile

@@ -1,4 +1,4 @@
-FROM ollama/ollama:latest
+FROM ollama/ollama:0.12.6
 
 # Copy the entrypoint script
 COPY entrypoint.sh /entrypoint.sh

nvidia/txt2kg/assets/deploy/services/ollama/clear_cache_and_restart.sh

@@ -1,5 +1,21 @@
 #!/bin/bash
 #
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+#
 # Clear buffer cache and restart Ollama to fix unified memory detection
 # This script addresses the issue where Ollama can't see full GPU memory
 # due to buffer cache not being reclaimable in unified memory systems

nvidia/txt2kg/assets/deploy/services/ollama/entrypoint.sh

@@ -1,4 +1,20 @@
 #!/bin/bash
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 set -e
 
 # Start Ollama server in the background

nvidia/txt2kg/assets/deploy/services/sentence-transformers/app.py

@@ -1,3 +1,19 @@
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 from flask import Flask, request, jsonify
 from sentence_transformers import SentenceTransformer
 import os

nvidia/txt2kg/assets/deploy/services/vllm/build_image.sh

@@ -1,4 +1,20 @@
 #!/bin/bash
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 
 # Use latest stable vLLM release for better compute capability 12.1 support
 # Clone the vLLM GitHub repo and use latest stable release.

nvidia/txt2kg/assets/deploy/services/vllm/launch_server.sh

@@ -1,4 +1,20 @@
 #!/bin/bash
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 
 # Launch vLLM with NVIDIA Triton Inference Server optimized build
 # This should have proper support for compute capability 12.1 (DGX Spark)

nvidia/txt2kg/assets/deploy/services/vllm/run_benchmark.sh

@@ -1,4 +1,20 @@
 #!/bin/bash
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 
 # vLLM Llama3 8B Benchmark Runner
 # Uses NVIDIA vLLM container for optimal performance

nvidia/txt2kg/assets/deploy/services/vllm/run_container.sh

@@ -1,4 +1,20 @@
 #!/bin/bash
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 
 # Follow the official vLLM tutorial run_container.sh exactly
 docker run -e HF_TOKEN="$HF_TOKEN" -e HF_HOME="$HF_HOME" --ipc=host --gpus all --entrypoint "/bin/bash" --rm -it vllm/vllm-openai:deploy

nvidia/txt2kg/assets/deploy/services/vllm/start-vllm.sh

@@ -1,4 +1,20 @@
 #!/bin/bash
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 
 # vLLM startup script with NVFP4 quantization support for Llama 4 Scout
 # Optimized for NVIDIA Blackwell and Hopper architectures

nvidia/txt2kg/assets/examples/download_biorxiv_dataset.py

@@ -1,4 +1,20 @@
 #!/usr/bin/env python3
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 """
 Download and process the MTEB raw_biorxiv dataset for txt2kg demo.
 Filter for genetics/genomics categories and create individual txt files.

nvidia/txt2kg/assets/examples/download_cc_biorxiv_dataset.py

@@ -1,4 +1,20 @@
 #!/usr/bin/env python3
+#
+# SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
 """
 Download and process the marianna13/biorxiv dataset for txt2kg demo.
 Filter for Creative Commons licensed papers and create individual txt files.

nvidia/txt2kg/assets/frontend/app/.static/3d-force-graph-mock.js

@@ -1 +1,17 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 console.log('This is mock data to avoid SSR issues')

nvidia/txt2kg/assets/frontend/app/api/backend/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import remoteBackend from '@/lib/remote-backend';
 import type { Triple } from '@/types/graph';

nvidia/txt2kg/assets/frontend/app/api/config/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextResponse } from "next/server";
 
 export async function GET() {

nvidia/txt2kg/assets/frontend/app/api/embeddings/route.ts

@@ -1,9 +1,25 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import { EmbeddingsService } from '@/lib/embeddings';
-import { PineconeService } from '@/lib/pinecone';
+import { QdrantService } from '@/lib/qdrant';
 
 /**
- * Generate embeddings for text chunks and store them in Pinecone
+ * Generate embeddings for text chunks and store them in Qdrant
  */
 export async function POST(request: NextRequest) {
   try {
@@ -38,15 +54,15 @@ export async function POST(request: NextRequest) {
     console.log('Generating embeddings for chunks...');
     const embeddings = await embeddingsService.encode(chunks);
     console.log(`Generated ${embeddings.length} embeddings`);
-    
-    // Initialize PineconeService
-    const pineconeService = PineconeService.getInstance();
-    
-    // Check if Pinecone server is running
-    const isPineconeRunning = await pineconeService.isPineconeRunning();
+
+    // Initialize QdrantService
+    const pineconeService = QdrantService.getInstance();
+
+    // Check if Qdrant server is running
+    const isPineconeRunning = await pineconeService.isQdrantRunning();
     if (!isPineconeRunning) {
       return NextResponse.json(
-        { error: 'Pinecone server is not available. Please make sure it is running.' },
+        { error: 'Qdrant server is not available. Please make sure it is running.' },
         { status: 503 }
       );
     }

nvidia/txt2kg/assets/frontend/app/api/enhanced-query/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import { RemoteBackendService } from '@/lib/remote-backend';
 

nvidia/txt2kg/assets/frontend/app/api/extract-triples/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import { processDocument, TextProcessor } from '@/lib/text-processor';
 import { llmService } from '@/lib/llm-service';
@@ -29,7 +45,8 @@ export async function POST(req: NextRequest) {
       ollamaModel,
       ollamaBaseUrl,
       vllmModel,
-      vllmBaseUrl
+      vllmBaseUrl,
+      nvidiaModel
     } = body;
 
     if (!text || typeof text !== 'string') {
@@ -136,7 +153,8 @@ export async function POST(req: NextRequest) {
         ollamaModel: ollamaModel,
         ollamaBaseUrl: ollamaBaseUrl,
         vllmModel: vllmModel,
-        vllmBaseUrl: vllmBaseUrl
+        vllmBaseUrl: vllmBaseUrl,
+        nvidiaModel: nvidiaModel
       });
     }
 

nvidia/txt2kg/assets/frontend/app/api/fix-query-logs/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import queryLoggerService, { QueryLogEntry } from '@/lib/query-logger';
 import fs from 'fs';

nvidia/txt2kg/assets/frontend/app/api/graph-data/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { type NextRequest, NextResponse } from "next/server"
 
 // Utility function to generate UUID with fallback

nvidia/txt2kg/assets/frontend/app/api/graph-db/clear/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import { getGraphDbService } from '@/lib/graph-db-util';
 import { getGraphDbType } from '../../settings/route';

nvidia/txt2kg/assets/frontend/app/api/graph-db/disconnect/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import { getGraphDbService } from '@/lib/graph-db-util';
 import { getGraphDbType } from '../../settings/route';

nvidia/txt2kg/assets/frontend/app/api/graph-db/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import { getGraphDbService } from '@/lib/graph-db-util';
 import { getGraphDbType } from '../settings/route';

nvidia/txt2kg/assets/frontend/app/api/graph-db/triples/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import { getGraphDbService } from '@/lib/graph-db-util';
 import { getGraphDbType } from '../../settings/route';
@@ -160,6 +176,16 @@ export async function POST(req: NextRequest) {
     // Store triples in the graph database
     await graphDbService.importTriples(validTriples);
 
+    // Mark document as processed if documentName is provided (only for ArangoDB)
+    if (graphDbType === 'arangodb' && documentName) {
+      try {
+        await (graphDbService as any).markDocumentAsProcessed(documentName, validTriples.length);
+      } catch (error) {
+        console.error('Error marking document as processed:', error);
+        // Don't fail the request if marking fails
+      }
+    }
+
     // Return success response
     return NextResponse.json({
       success: true,

nvidia/txt2kg/assets/frontend/app/api/graph-query-llm/route.ts

@@ -0,0 +1,66 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
+import { NextRequest, NextResponse } from 'next/server';
+import backendService from '@/lib/backend-service';
+import { getGraphDbType } from '../settings/route';
+
+/**
+ * API endpoint for LLM-enhanced graph query
+ * This retrieves triples using graph search and generates an answer using LLM
+ * Makes traditional graph search comparable to RAG for fair benchmarking
+ * POST /api/graph-query-llm
+ */
+export async function POST(request: NextRequest) {
+  try {
+    const { query, topK = 5, useTraditional = true, llmModel, llmProvider } = await request.json();
+    
+    if (!query) {
+      return NextResponse.json({ error: 'Query is required' }, { status: 400 });
+    }
+    
+    // Initialize backend if needed with the selected graph DB type
+    if (!backendService.isInitialized) {
+      const graphDbType = getGraphDbType();
+      console.log(`Initializing backend with graph DB type: ${graphDbType}`);
+      await backendService.initialize(graphDbType);
+    }
+    
+    console.log(`Graph query with LLM: "${query}", topK=${topK}, traditional=${useTraditional}, model=${llmModel || 'default'}, provider=${llmProvider || 'default'}`);
+    
+    // Query the backend with LLM enhancement
+    const result = await backendService.queryWithLLM(query, topK, useTraditional, llmModel, llmProvider);
+
+    // DEBUG: Log first triple in API route to verify depth/pathLength
+    if (result.triples && result.triples.length > 0) {
+      console.log('API route - first triple:', JSON.stringify(result.triples[0], null, 2));
+    }
+
+    // Return results
+    return NextResponse.json({
+      query,
+      answer: result.answer,
+      triples: result.triples,
+      count: result.count,
+      message: `Retrieved ${result.count} triples and generated answer using ${useTraditional ? 'traditional' : 'vector'} graph search + LLM`
+    });
+  } catch (error) {
+    console.error('Error in graph query with LLM:', error);
+    const errorMessage = error instanceof Error ? error.message : 'Unknown error';
+    return NextResponse.json({ error: errorMessage }, { status: 500 });
+  }
+}
+

nvidia/txt2kg/assets/frontend/app/api/metrics/route.ts

@@ -1,8 +1,24 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import remoteBackendInstance from '@/lib/remote-backend';
-import { Neo4jService } from '@/lib/neo4j';
-import neo4jService from '@/lib/neo4j';
-import { PineconeService } from '@/lib/pinecone';
+import { getGraphDbService } from '@/lib/graph-db-util';
+import { getGraphDbType } from '../settings/route';
+import { QdrantService } from '@/lib/qdrant';
 import RAGService from '@/lib/rag';
 import queryLoggerService, { QueryLogSummary } from '@/lib/query-logger';
 
@@ -11,16 +27,31 @@ import queryLoggerService, { QueryLogSummary } from '@/lib/query-logger';
  */
 export async function GET(request: NextRequest) {
   try {
-    // Initialize services
-    const neo4j = Neo4jService.getInstance();
-    const pineconeService = PineconeService.getInstance();
+    // Initialize services with the correct graph database type
+    const graphDbType = getGraphDbType();
+    const graphDbService = getGraphDbService(graphDbType);
+    const pineconeService = QdrantService.getInstance();
     
-    if (!neo4j.isInitialized()) {
-      neo4j.initialize();
+    // Initialize graph database if needed
+    if (!graphDbService.isInitialized()) {
+      if (graphDbType === 'arangodb') {
+        await graphDbService.initialize(
+          process.env.ARANGODB_URL,
+          process.env.ARANGODB_DB,
+          process.env.ARANGODB_USER,
+          process.env.ARANGODB_PASSWORD
+        );
+      } else if (graphDbType === 'neo4j') {
+        graphDbService.initialize(
+          process.env.NEO4J_URI,
+          process.env.NEO4J_USER || process.env.NEO4J_USERNAME,
+          process.env.NEO4J_PASSWORD
+        );
+      }
     }
     
-    // Get graph stats from Neo4j
-    const graphData = await neo4j.getGraphData();
+    // Get graph stats from the active graph database
+    const graphData = await graphDbService.getGraphData();
     
     // Get unique entities (nodes)
     const uniqueEntities = new Set<string>();
@@ -51,11 +82,12 @@ export async function GET(request: NextRequest) {
 
     // Get real query logs instead of mock data
     let queryLogs: QueryLogSummary[] = [];
-    let precision = 0; 
+    let precision = 0;
     let recall = 0;
     let f1Score = 0;
     let avgQueryTime = vectorStats.avgQueryTime || 0;
     let avgRelevance = 0;
+    let queryTimesByMode: Record<string, number> = {};
 
     // Get query logs from file-based logger instead of Neo4j
     try {
@@ -72,25 +104,42 @@ export async function GET(request: NextRequest) {
       // Calculate metrics from the query logs
       if (queryLogs.length > 0) {
         // Calculate metrics from logs with actual data
-        const logsWithMetrics = queryLogs.filter(log => 
-          log.metrics.avgPrecision > 0 || 
-          log.metrics.avgRecall > 0 || 
+        const logsWithMetrics = queryLogs.filter(log =>
+          log.metrics.avgPrecision > 0 ||
+          log.metrics.avgRecall > 0 ||
           log.metrics.avgExecutionTimeMs > 0
         );
-        
+
         const logsWithRelevance = queryLogs.filter(log => log.metrics.avgRelevanceScore > 0);
-        
+
         if (logsWithMetrics.length > 0) {
           precision = logsWithMetrics.reduce((sum, log) => sum + (log.metrics.avgPrecision || 0), 0) / logsWithMetrics.length;
           recall = logsWithMetrics.reduce((sum, log) => sum + (log.metrics.avgRecall || 0), 0) / logsWithMetrics.length;
           avgQueryTime = logsWithMetrics.reduce((sum, log) => sum + (log.metrics.avgExecutionTimeMs || 0), 0) / logsWithMetrics.length;
           f1Score = precision > 0 && recall > 0 ? 2 * (precision * recall) / (precision + recall) : 0;
         }
-        
+
         if (logsWithRelevance.length > 0) {
           avgRelevance = logsWithRelevance.reduce((sum, log) => sum + (log.metrics.avgRelevanceScore || 0), 0) / logsWithRelevance.length;
         }
       }
+
+      // Calculate per-mode query times
+      const logsByMode = queryLogs.reduce((acc, log) => {
+        const mode = log.queryMode || 'traditional';
+        if (!acc[mode]) acc[mode] = [];
+        acc[mode].push(log);
+        return acc;
+      }, {} as Record<string, typeof queryLogs>);
+
+      Object.entries(logsByMode).forEach(([mode, logs]) => {
+        const logsWithTime = logs.filter(log => log.metrics.avgExecutionTimeMs > 0);
+        if (logsWithTime.length > 0) {
+          queryTimesByMode[mode] = logsWithTime.reduce((sum, log) =>
+            sum + log.metrics.avgExecutionTimeMs, 0
+          ) / logsWithTime.length;
+        }
+      });
     } catch (error) {
       console.warn('Error getting query logs from file:', error);
       // Keep values at 0 instead of using defaults
@@ -117,6 +166,7 @@ export async function GET(request: NextRequest) {
       recall,
       f1Score,
       topQueries,
+      queryTimesByMode: queryTimesByMode || {},
       // Add metadata about query logs
       queryLogStats: {
         totalQueryLogs: queryLogs.length,

nvidia/txt2kg/assets/frontend/app/api/neo4j/disconnect/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 
 /**

nvidia/txt2kg/assets/frontend/app/api/neo4j/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import { Neo4jService } from '@/lib/neo4j';
 

nvidia/txt2kg/assets/frontend/app/api/neo4j/triples/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 
 /**

nvidia/txt2kg/assets/frontend/app/api/ollama/batch/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import { llmService, LLMMessage } from '@/lib/llm-service';
 

nvidia/txt2kg/assets/frontend/app/api/ollama/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import { llmService } from '@/lib/llm-service';
 

nvidia/txt2kg/assets/frontend/app/api/ollama/test/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 
 /**

nvidia/txt2kg/assets/frontend/app/api/pinecone-diag/clear/route.ts

@@ -1,5 +1,21 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
-import { PineconeService } from '@/lib/pinecone';
+import { QdrantService } from '@/lib/qdrant';
 
 /**
  * Clear all data from the Pinecone vector database
@@ -7,7 +23,7 @@ import { PineconeService } from '@/lib/pinecone';
  */
 export async function POST() {
   // Get the Pinecone service instance
-  const pineconeService = PineconeService.getInstance();
+  const pineconeService = QdrantService.getInstance();
   
   // Clear all vectors from the database
   const deleteSuccess = await pineconeService.deleteAllEntities();

nvidia/txt2kg/assets/frontend/app/api/pinecone-diag/create-index/route.ts

@@ -1,5 +1,21 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextResponse } from 'next/server';
-import { PineconeService } from '@/lib/pinecone';
+import { QdrantService } from '@/lib/qdrant';
 
 /**
  * Create Pinecone index API endpoint
@@ -8,7 +24,7 @@ import { PineconeService } from '@/lib/pinecone';
 export async function POST() {
   try {
     // Get the Pinecone service instance
-    const pineconeService = PineconeService.getInstance();
+    const pineconeService = QdrantService.getInstance();
     
     // Force re-initialization to create the index
     (pineconeService as any).initialized = false;

nvidia/txt2kg/assets/frontend/app/api/pinecone-diag/stats/route.ts

@@ -1,5 +1,21 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
-import { PineconeService } from '@/lib/pinecone';
+import { QdrantService } from '@/lib/qdrant';
 
 /**
  * Get Pinecone vector database stats
@@ -7,7 +23,7 @@ import { PineconeService } from '@/lib/pinecone';
 export async function GET() {
   try {
     // Initialize Pinecone service
-    const pineconeService = PineconeService.getInstance();
+    const pineconeService = QdrantService.getInstance();
     
     // We can now directly call getStats() which handles initialization and error recovery
     const stats = await pineconeService.getStats();

nvidia/txt2kg/assets/frontend/app/api/process-document/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import { RemoteBackendService } from '@/lib/remote-backend';
 import { EmbeddingsService } from '@/lib/embeddings';

nvidia/txt2kg/assets/frontend/app/api/pygraphistry/generate/[taskId]/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server'
 
 const PYGRAPHISTRY_SERVICE_URL = process.env.PYGRAPHISTRY_SERVICE_URL || 'http://localhost:8080'

nvidia/txt2kg/assets/frontend/app/api/pygraphistry/generate/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server'
 
 const PYGRAPHISTRY_SERVICE_URL = process.env.PYGRAPHISTRY_SERVICE_URL || 'http://localhost:8080'

nvidia/txt2kg/assets/frontend/app/api/pygraphistry/health/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server'
 
 const PYGRAPHISTRY_SERVICE_URL = process.env.PYGRAPHISTRY_SERVICE_URL || 'http://localhost:8080'

nvidia/txt2kg/assets/frontend/app/api/pygraphistry/stats/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server'
 
 const PYGRAPHISTRY_SERVICE_URL = process.env.PYGRAPHISTRY_SERVICE_URL || 'http://localhost:8080'

nvidia/txt2kg/assets/frontend/app/api/pygraphistry/visualize/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server'
 
 const PYGRAPHISTRY_SERVICE_URL = process.env.PYGRAPHISTRY_SERVICE_URL || 'http://localhost:8080'

nvidia/txt2kg/assets/frontend/app/api/query-log/add/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import neo4jService from '@/lib/neo4j';
 

nvidia/txt2kg/assets/frontend/app/api/query-log/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import queryLoggerService from '@/lib/query-logger';
 

nvidia/txt2kg/assets/frontend/app/api/query-log/test/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import neo4jService from '@/lib/neo4j';
 

nvidia/txt2kg/assets/frontend/app/api/query/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import backendService from '@/lib/backend-service';
 import type { Triple } from '@/types/graph';

nvidia/txt2kg/assets/frontend/app/api/rag-query/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import RAGService from '@/lib/rag';
 
@@ -20,17 +36,20 @@ export async function POST(req: NextRequest) {
     const ragService = RAGService;
     await ragService.initialize();
     
-    console.log(`Processing RAG query: "${query}" with topK=${topK}`);
+    console.log(`Processing Pure RAG query: "${query}" with topK=${topK}`);
 
     // Retrieve documents and generate answer
-    const answer = await ragService.retrievalQA(query, topK);
+    const result = await ragService.retrievalQA(query, topK);
     
     // Check if this is a fallback response
-    const isGeneralKnowledgeFallback = answer.startsWith('[Note: No specific information was found');
+    const isGeneralKnowledgeFallback = result.answer.startsWith('[Note: No specific information was found');
+
+    console.log(`✅ Pure RAG query completed. Retrieved ${result.documentCount} document chunks`);
 
     // Return the results
     return NextResponse.json({
-      answer,
+      answer: result.answer,
+      documentCount: result.documentCount,
       usedFallback: isGeneralKnowledgeFallback,
       success: true
     });

nvidia/txt2kg/assets/frontend/app/api/remote-webgpu-stream/[sessionId]/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server'
 
 // Proxy route specifically for WebRTC streaming frames

nvidia/txt2kg/assets/frontend/app/api/remote-webgpu/[...path]/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server'
 
 // Proxy route for remote WebGPU clustering service

nvidia/txt2kg/assets/frontend/app/api/sentence-embeddings/route.ts

@@ -1,6 +1,22 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import { processSentenceEmbeddings, SentenceEmbedding } from '@/lib/text-processor';
-import { PineconeService } from '@/lib/pinecone';
+import { QdrantService } from '@/lib/qdrant';
 
 /**
  * API endpoint for splitting text into sentences and generating embeddings
@@ -49,7 +65,7 @@ export async function POST(req: NextRequest) {
         });
         
         // Store in Pinecone
-        const pineconeService = PineconeService.getInstance();
+        const pineconeService = QdrantService.getInstance();
         await pineconeService.storeEmbeddingsWithMetadata(
           embeddingsMap,
           textContentMap, 

nvidia/txt2kg/assets/frontend/app/api/settings/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import { GraphDBType } from '@/lib/graph-db-service';
 

nvidia/txt2kg/assets/frontend/app/api/stop-embeddings/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server'
 
 // Global flag to track if embeddings generation should be stopped

nvidia/txt2kg/assets/frontend/app/api/stop-processing/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server'
 
 // Global flag to track if processing should be stopped

nvidia/txt2kg/assets/frontend/app/api/store-documents/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import RAGService from '@/lib/rag';
 

nvidia/txt2kg/assets/frontend/app/api/test-proxy/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server'
 
 // Simple test endpoint to verify proxy connectivity

nvidia/txt2kg/assets/frontend/app/api/unified-gpu/capabilities/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server'
 
 const UNIFIED_GPU_SERVICE_URL = process.env.UNIFIED_GPU_SERVICE_URL || 'http://localhost:8080'

nvidia/txt2kg/assets/frontend/app/api/unified-gpu/visualize/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server'
 
 const UNIFIED_GPU_SERVICE_URL = process.env.UNIFIED_GPU_SERVICE_URL || 'http://localhost:8080'

nvidia/txt2kg/assets/frontend/app/api/vllm/route.ts

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { NextRequest, NextResponse } from 'next/server';
 import { LLMService } from '@/lib/llm-service';
 

nvidia/txt2kg/assets/frontend/app/components/documents-list.tsx

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 "use client";
 
 import { useState, useEffect } from "react";

nvidia/txt2kg/assets/frontend/app/document-data/page.tsx

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import { DocumentsTable } from "@/components/documents-table";
 import { DocumentProcessor } from "@/components/document-processor";
 

nvidia/txt2kg/assets/frontend/app/graph/page.tsx

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 "use client"
 
 import { useEffect, useState } from "react"

nvidia/txt2kg/assets/frontend/app/graph3d/page.tsx

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 "use client"
 
 /**

nvidia/txt2kg/assets/frontend/app/layout.tsx

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import type React from "react"
 import type { Metadata } from "next"
 import { Inter } from "next/font/google"
@@ -43,9 +59,6 @@ export default function RootLayout({
                   <NvidiaIcon className="h-8 w-8" />
                   <div>
                     <span className="text-xl font-bold gradient-text">txt2kg</span>
-                    <span className="ml-2 text-xs bg-primary/20 text-[#76b900] px-2 py-0.5 rounded-full">
-                      Powered by NVIDIA AI
-                    </span>
                   </div>
                 </div>
                 <div className="flex items-center gap-4">

nvidia/txt2kg/assets/frontend/app/page.tsx

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 "use client"
 
 import { useState, useEffect } from "react"

nvidia/txt2kg/assets/frontend/app/rag/metrics/page.tsx

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 "use client";
 
 import { useState, useEffect } from "react";
@@ -17,6 +33,7 @@ interface MetricsData {
   recall: number;
   f1Score: number;
   topQueries: { query: string; count: number }[];
+  queryTimesByMode?: Record<string, number>;
   queryLogStats?: {
     totalQueryLogs: number;
     totalExecutions: number;

nvidia/txt2kg/assets/frontend/app/rag/page.tsx

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 "use client";
 
 import { useState, useEffect } from "react";
@@ -12,6 +28,7 @@ import { ArrowLeft, BarChart2, Search as SearchIcon } from "lucide-react";
 export default function RagPage() {
   const router = useRouter();
   const [results, setResults] = useState<Triple[] | null>(null);
+  const [llmAnswer, setLlmAnswer] = useState<string | null>(null);
   const [isLoading, setIsLoading] = useState(false);
   const [errorMessage, setErrorMessage] = useState<string | null>(null);
   const [vectorEnabled, setVectorEnabled] = useState(false);
@@ -20,6 +37,7 @@ export default function RagPage() {
     avgRelevance: number;
     precision: number;
     recall: number;
+    queryTimesByMode?: Record<string, number>;
   } | null>(null);
   const [currentParams, setCurrentParams] = useState<RagParams>({
     kNeighbors: 4096,
@@ -64,7 +82,8 @@ export default function RagPage() {
             avgQueryTime: data.avgQueryTime,
             avgRelevance: data.avgRelevance,
             precision: data.precision,
-            recall: data.recall
+            recall: data.recall,
+            queryTimesByMode: data.queryTimesByMode
           });
         }
       } catch (error) {
@@ -84,12 +103,20 @@ export default function RagPage() {
     let resultCount = 0;
     let relevanceScore = 0;
     
+    // Debug logging
+    console.log('🔍 Query params:', {
+      usePureRag: params.usePureRag,
+      useVectorSearch: params.useVectorSearch,
+      vectorEnabled,
+      queryMode: params.queryMode
+    });
+    
     try {
       // If using pure RAG (Pinecone + LangChain) without graph search
       if (params.usePureRag) {
         queryMode = 'pure-rag';
         try {
-          console.log('Using pure RAG with just Pinecone and LangChain for query:', query);
+          console.log('Using pure RAG with Qdrant and NVIDIA LLM for query:', query);
           const ragResponse = await fetch('/api/rag-query', {
             method: 'POST',
             headers: { 'Content-Type': 'application/json' },
@@ -101,17 +128,22 @@ export default function RagPage() {
           
           if (ragResponse.ok) {
             const data = await ragResponse.json();
+            console.log('📥 RAG Response data:', { 
+              hasAnswer: !!data.answer, 
+              answerLength: data.answer?.length,
+              documentCount: data.documentCount 
+            });
             // Handle the answer - we might need to display differently than triples
             if (data.answer) {
-              // Special UI handling for text answer rather than triples
-              setResults([{
-                subject: 'Answer',
-                predicate: '',
-                object: data.answer,
-                usedFallback: data.usedFallback
-              }]);
-              
-              resultCount = 1;
+              console.log('✅ Setting answer in results:', data.answer.substring(0, 100) + '...');
+
+              // Set the LLM answer for display (same as traditional mode)
+              setLlmAnswer(data.answer);
+
+              // Set empty results array since Pure RAG doesn't return triples
+              setResults([]);
+
+              resultCount = data.documentCount || 0;
               relevanceScore = data.relevanceScore || 0;
               
               // Log the query with performance metrics
@@ -121,7 +153,7 @@ export default function RagPage() {
                 resultCount
               });
               
-              console.log('Pure RAG query completed successfully');
+              console.log(`✅ Pure RAG query completed. Retrieved ${resultCount} document chunks`);
               setIsLoading(false);
               return;
             }
@@ -136,8 +168,8 @@ export default function RagPage() {
         }
       }
       
-      // If we have vector embeddings, use enhanced query with metadata
-      if (vectorEnabled && params.useVectorSearch) {
+      // If we have vector embeddings AND explicitly selected vector search, use enhanced query with metadata
+      if (vectorEnabled && params.useVectorSearch && !params.usePureRag) {
         queryMode = 'vector-search';
         try {
           console.log('Using enhanced RAG with LangChain for query:', query);
@@ -184,35 +216,71 @@ export default function RagPage() {
         }
       }
       
-      // Call the traditional backend API as fallback or if explicitly selected
+      // Call the LLM-enhanced graph query API
+      console.log('✅ Using Graph Search + LLM approach');
       queryMode = 'traditional';
-      const response = await fetch(`/api/query`, {
+      
+      // Get selected LLM model from localStorage
+      let llmModel = undefined;
+      let llmProvider = undefined;
+      try {
+        const savedModel = localStorage.getItem("selectedModelForRAG");
+        if (savedModel) {
+          const modelData = JSON.parse(savedModel);
+          llmModel = modelData.model;
+          llmProvider = modelData.provider;
+          console.log(`Using LLM: ${llmModel} (${llmProvider})`);
+        }
+      } catch (e) {
+        console.warn("Could not load selected LLM model, using default");
+      }
+      
+      const response = await fetch(`/api/graph-query-llm`, {
         method: 'POST',
         headers: {
           'Content-Type': 'application/json',
         },
         body: JSON.stringify({
           query,
-          kNeighbors: params.kNeighbors,
-          fanout: params.fanout,
-          numHops: params.numHops,
-          topK: params.topK,
-          queryMode: queryMode, // Explicitly pass the query mode
-          useTraditional: true  // Force use of the direct pattern matching approach
+          topK: params.topK || 5,
+          useTraditional: true,
+          llmModel,
+          llmProvider
         }),
       });
       
       if (!response.ok) {
         const errorData = await response.json();
-        throw new Error(errorData.error || 'Failed to query the RAG backend');
+        throw new Error(errorData.error || 'Failed to query with LLM');
       }
       
       const data = await response.json();
+
+      // Log sample of retrieved triples for debugging
+      console.log('📊 Retrieved Triples (sample):', data.triples.slice(0, 3));
+      console.log('🤖 LLM-Generated Answer (preview):', data.answer?.substring(0, 200) + '...');
+      console.log('📈 Triple Count:', data.count);
+
+      // DEBUG: Check if depth/pathLength are present in received data
+      if (data.triples && data.triples.length > 0) {
+        console.log('🔍 First triple structure:', JSON.stringify(data.triples[0], null, 2));
+        console.log('🔍 Has depth?', 'depth' in data.triples[0]);
+        console.log('🔍 Has pathLength?', 'pathLength' in data.triples[0]);
+      }
       
-      // Update the results
-      setResults(data.relevantTriples || []);
+      // Update the results with the triples (for display)
+      setResults(data.triples || []);
       resultCount = data.count || 0;
-      relevanceScore = data.relevanceScore || 0;
+      relevanceScore = 0; // No relevance score for traditional search
+      
+      // Store the LLM answer for display
+      if (data.answer) {
+        console.log('✅ Setting llmAnswer state (length:', data.answer.length, 'chars)');
+        setLlmAnswer(data.answer);
+      } else {
+        console.log('⚠️ No answer in response');
+        setLlmAnswer(null);
+      }
       
       // Log the query with performance metrics
       logQuery(query, queryMode, {
@@ -279,6 +347,7 @@ export default function RagPage() {
 
   const clearResults = () => {
     setResults(null);
+    setLlmAnswer(null);
     setErrorMessage(null);
   };
 
@@ -318,22 +387,34 @@ export default function RagPage() {
                 </div>
                 
                 <div className="space-y-3 text-sm">
-                  <div className="flex justify-between">
-                    <span className="text-muted-foreground">Avg. Query Time:</span>
-                    <span className="font-medium">{metrics.avgQueryTime > 0 ? `${metrics.avgQueryTime.toFixed(2)}ms` : "No data"}</span>
-                  </div>
-                  <div className="flex justify-between">
-                    <span className="text-muted-foreground">Relevance Score:</span>
-                    <span className="font-medium">{metrics.avgRelevance > 0 ? `${(metrics.avgRelevance * 100).toFixed(1)}%` : "No data"}</span>
-                  </div>
-                  <div className="flex justify-between">
-                    <span className="text-muted-foreground">Precision:</span>
-                    <span className="font-medium">{metrics.precision > 0 ? `${(metrics.precision * 100).toFixed(1)}%` : "No data"}</span>
-                  </div>
-                  <div className="flex justify-between">
-                    <span className="text-muted-foreground">Recall:</span>
-                    <span className="font-medium">{metrics.recall > 0 ? `${(metrics.recall * 100).toFixed(1)}%` : "No data"}</span>
-                  </div>
+                  {/* Query times by mode */}
+                  {metrics.queryTimesByMode && Object.keys(metrics.queryTimesByMode).length > 0 ? (
+                    <>
+                      {metrics.queryTimesByMode['pure-rag'] !== undefined && (
+                        <div className="flex justify-between">
+                          <span className="text-muted-foreground">Pure RAG:</span>
+                          <span className="font-medium">{(metrics.queryTimesByMode['pure-rag'] / 1000).toFixed(2)}s</span>
+                        </div>
+                      )}
+                      {metrics.queryTimesByMode['traditional'] !== undefined && (
+                        <div className="flex justify-between">
+                          <span className="text-muted-foreground">Graph Search:</span>
+                          <span className="font-medium">{(metrics.queryTimesByMode['traditional'] / 1000).toFixed(2)}s</span>
+                        </div>
+                      )}
+                      {metrics.queryTimesByMode['vector-search'] !== undefined && (
+                        <div className="flex justify-between">
+                          <span className="text-muted-foreground">GraphRAG:</span>
+                          <span className="font-medium">{(metrics.queryTimesByMode['vector-search'] / 1000).toFixed(2)}s</span>
+                        </div>
+                      )}
+                    </>
+                  ) : (
+                    <div className="flex justify-between">
+                      <span className="text-muted-foreground">Avg. Query Time:</span>
+                      <span className="font-medium">{metrics.avgQueryTime > 0 ? `${metrics.avgQueryTime.toFixed(2)}ms` : "No data"}</span>
+                    </div>
+                  )}
                 </div>
               </div>
             )}
@@ -349,14 +430,81 @@ export default function RagPage() {
               vectorEnabled={vectorEnabled}
             />
             
+            {/* LLM Answer Section */}
+            {llmAnswer && (
+              <div className="mt-8 nvidia-build-card">
+                <div className="flex items-center gap-3 mb-4">
+                  <div className="w-6 h-6 rounded-md bg-nvidia-green/15 flex items-center justify-center">
+                    <SearchIcon className="h-3 w-3 text-nvidia-green" />
+                  </div>
+                  <h3 className="text-lg font-semibold text-foreground">Answer</h3>
+                  {currentParams.queryMode && (
+                    <span className="text-xs px-2.5 py-1 rounded-full font-medium bg-nvidia-green/10 text-nvidia-green border border-nvidia-green/20">
+                      {currentParams.queryMode === 'pure-rag' ? 'Pure RAG' :
+                       currentParams.queryMode === 'vector-search' ? 'GraphRAG' :
+                       'Graph Search'}
+                    </span>
+                  )}
+                </div>
+                <div className="prose prose-sm dark:prose-invert max-w-none">
+                  {(() => {
+                    // Parse <think> tags
+                    const thinkMatch = llmAnswer.match(/<think>([\s\S]*?)<\/think>/);
+                    const thinkContent = thinkMatch ? thinkMatch[1].trim() : null;
+                    const mainAnswer = thinkContent
+                      ? llmAnswer.replace(/<think>[\s\S]*?<\/think>/, '').trim()
+                      : llmAnswer;
+
+                    return (
+                      <>
+                        {thinkContent && (
+                          <details className="mb-4 bg-muted/10 border border-border/20 rounded-xl overflow-hidden group">
+                            <summary className="cursor-pointer p-4 hover:bg-muted/20 transition-colors flex items-center gap-2">
+                              <svg className="w-4 h-4 transform transition-transform group-open:rotate-90" xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24" stroke="currentColor">
+                                <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M9 5l7 7-7 7" />
+                              </svg>
+                              <span className="text-sm font-medium text-muted-foreground">Reasoning Process</span>
+                            </summary>
+                            <div className="p-4 pt-0 text-sm text-muted-foreground leading-relaxed whitespace-pre-wrap border-t border-border/10">
+                              {thinkContent}
+                            </div>
+                          </details>
+                        )}
+                        <div className="bg-muted/20 border border-border/20 p-6 rounded-xl">
+                          <div
+                            className="text-foreground leading-relaxed whitespace-pre-wrap"
+                            dangerouslySetInnerHTML={{
+                              __html: mainAnswer
+                                .replace(/\*\*(.*?)\*\*/g, '<strong>$1</strong>')
+                                .replace(/\*(.*?)\*/g, '<em>$1</em>')
+                            }}
+                          />
+                        </div>
+                      </>
+                    );
+                  })()}
+                </div>
+              </div>
+            )}
+            
             {/* Results Section */}
-            {results && results.length > 0 && (
+            {results && results.length > 0 && !currentParams.usePureRag && (
               <div className="mt-8 nvidia-build-card">
                 <div className="flex items-center gap-3 mb-6">
                   <div className="w-6 h-6 rounded-md bg-nvidia-green/15 flex items-center justify-center">
                     <SearchIcon className="h-3 w-3 text-nvidia-green" />
                   </div>
-                  <h3 className="text-lg font-semibold text-foreground">Results ({results.length})</h3>
+                  <h3 className="text-lg font-semibold text-foreground">
+                    {llmAnswer ? `Retrieved Knowledge (${results.length})` : `Results (${results.length})`}
+                  </h3>
+                  {results.some((r: any) => r.pathLength && r.pathLength > 1) && (
+                    <span className="text-xs px-2.5 py-1 rounded-full font-medium bg-amber-500/10 text-amber-600 dark:text-amber-400 border border-amber-500/20 flex items-center gap-1.5">
+                      <svg className="w-3 h-3" fill="none" viewBox="0 0 24 24" stroke="currentColor">
+                        <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M13 10V3L4 14h7v7l9-11h-7z" />
+                      </svg>
+                      Multi-hop enabled
+                    </span>
+                  )}
                 </div>
                 <div className="space-y-4">
                   {results.map((triple, index) => (
@@ -389,8 +537,33 @@ export default function RagPage() {
                         </div>
                       )}
                       {triple.confidence && !currentParams.usePureRag && (
-                        <div className="mt-2 text-xs text-muted-foreground">
-                          Confidence: {(triple.confidence * 100).toFixed(1)}%
+                        <div className="mt-3 flex items-center gap-4 text-xs">
+                          <div className="flex items-center gap-1.5">
+                            <div className="w-2 h-2 rounded-full bg-nvidia-green/60"></div>
+                            <span className="text-muted-foreground">
+                              Confidence: <span className="font-medium text-foreground">{(triple.confidence * 100).toFixed(1)}%</span>
+                            </span>
+                          </div>
+                          {triple.depth !== undefined && (
+                            <div className="flex items-center gap-1.5">
+                              <svg className="w-3 h-3 text-nvidia-green/60" fill="none" viewBox="0 0 24 24" stroke="currentColor">
+                                <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M13 7l5 5m0 0l-5 5m5-5H6" />
+                              </svg>
+                              <span className="text-muted-foreground">
+                                Hop: <span className="font-medium text-foreground">{triple.depth + 1}</span>
+                              </span>
+                            </div>
+                          )}
+                          {triple.pathLength !== undefined && triple.pathLength > 1 && (
+                            <div className="flex items-center gap-1.5">
+                              <svg className="w-3 h-3 text-amber-500/60" fill="none" viewBox="0 0 24 24" stroke="currentColor">
+                                <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M9 20l-5.447-2.724A1 1 0 013 16.382V5.618a1 1 0 011.447-.894L9 7m0 13l6-3m-6 3V7m6 10l4.553 2.276A1 1 0 0021 18.382V7.618a1 1 0 00-.553-.894L15 4m0 13V4m0 0L9 7" />
+                              </svg>
+                              <span className="text-amber-600/80 dark:text-amber-400/80">
+                                Multi-hop path (length: <span className="font-medium">{triple.pathLength}</span>)
+                              </span>
+                            </div>
+                          )}
                         </div>
                       )}
                     </div>
@@ -399,7 +572,7 @@ export default function RagPage() {
               </div>
             )}
             
-            {results && results.length === 0 && !isLoading && (
+            {results && results.length === 0 && !isLoading && !currentParams.usePureRag && (
               <div className="mt-8 nvidia-build-card border-dashed">
                 <div className="text-center py-8">
                   <div className="w-12 h-12 rounded-xl bg-muted/30 flex items-center justify-center mx-auto mb-4">

nvidia/txt2kg/assets/frontend/app/test-large-graph/page.tsx

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 "use client"
 
 import React, { useState, useEffect } from "react"

nvidia/txt2kg/assets/frontend/app/test-million-nodes/page.tsx

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 "use client"
 
 import React, { useState, useEffect, useCallback, useMemo } from "react"

nvidia/txt2kg/assets/frontend/app/test-webgpu-clustering/page.tsx

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 "use client"
 
 // @ts-nocheck

nvidia/txt2kg/assets/frontend/components/advanced-options.tsx

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 import React, { useState } from "react";
 import { ChevronDown, ChevronRight } from "lucide-react";
 import { cn } from "@/lib/utils";

nvidia/txt2kg/assets/frontend/components/api-key-prompt.tsx

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 "use client"
 
 import type React from "react"

nvidia/txt2kg/assets/frontend/components/client-init.tsx

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 "use client"
 
 import { useEffect } from "react"

nvidia/txt2kg/assets/frontend/components/database-connection.tsx

@@ -1,7 +1,23 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 "use client"
 
 import { useState, useEffect } from "react"
-import { Network, Database, Zap, AlertCircle, RefreshCw, ChevronDown, ChevronUp, InfoIcon, Trash2 } from "lucide-react"
+import { Network, Database, Zap, AlertCircle, RefreshCw, ChevronDown, ChevronUp, InfoIcon, Trash2, LogOut } from "lucide-react"
 import { Badge } from '@/components/ui/badge'
 import { Tooltip, TooltipContent, TooltipProvider, TooltipTrigger } from '@/components/ui/tooltip'
 import { Button } from "@/components/ui/button"
@@ -157,15 +173,20 @@ export function DatabaseConnection({ className }: DatabaseConnectionProps) {
     try {
       const response = await fetch('/api/pinecone-diag/stats');
       const data = await response.json();
-      
+
       if (response.ok) {
         setVectorStats({
           nodes: typeof data.totalVectorCount === 'number' ? data.totalVectorCount : 0,
           relationships: 0, // Vector DB doesn't store relationships
           source: data.source || 'unknown',
-          httpHealthy: data.httpHealthy
-        });
-        
+          httpHealthy: data.httpHealthy,
+          // Store additional Qdrant stats
+          ...(data.status && { status: data.status }),
+          ...(data.vectorSize && { vectorSize: data.vectorSize }),
+          ...(data.distance && { distance: data.distance }),
+          ...(data.url && { url: data.url }),
+        } as any);
+
         // If we have a healthy HTTP connection, we're connected
         if (data.httpHealthy) {
           setVectorConnectionStatus("connected");
@@ -364,39 +385,65 @@ export function DatabaseConnection({ className }: DatabaseConnectionProps) {
             )}
             
             <div className="flex gap-2">
-              <Button 
-                variant="outline" 
-                size="sm" 
-                onClick={checkGraphConnection}
-                disabled={graphConnectionStatus === "checking"}
-                className="flex-1 text-xs h-7"
-              >
-                {graphConnectionStatus === "checking" ? "Checking..." : "Refresh"}
-              </Button>
+              <TooltipProvider>
+                <Tooltip>
+                  <TooltipTrigger asChild>
+                    <Button 
+                      variant="outline" 
+                      size="sm" 
+                      onClick={checkGraphConnection}
+                      disabled={graphConnectionStatus === "checking"}
+                      className="flex-1 text-xs h-7 px-2"
+                    >
+                      <RefreshCw className={`h-3 w-3 ${graphConnectionStatus === "checking" ? "animate-spin" : ""}`} />
+                    </Button>
+                  </TooltipTrigger>
+                  <TooltipContent>
+                    <p>{graphConnectionStatus === "checking" ? "Checking..." : "Refresh connection"}</p>
+                  </TooltipContent>
+                </Tooltip>
+              </TooltipProvider>
               
               {graphConnectionStatus === "connected" ? (
                 <>
-                  <Button 
-                    variant="outline" 
-                    size="sm" 
-                    onClick={disconnectGraph}
-                    className="flex-1 text-xs h-7"
-                  >
-                    Disconnect
-                  </Button>
+                  <TooltipProvider>
+                    <Tooltip>
+                      <TooltipTrigger asChild>
+                        <Button 
+                          variant="outline" 
+                          size="sm" 
+                          onClick={disconnectGraph}
+                          className="flex-1 text-xs h-7 px-2"
+                        >
+                          <LogOut className="h-3 w-3" />
+                        </Button>
+                      </TooltipTrigger>
+                      <TooltipContent>
+                        <p>Disconnect</p>
+                      </TooltipContent>
+                    </Tooltip>
+                  </TooltipProvider>
                   
                   <Dialog open={showClearDialog} onOpenChange={setShowClearDialog}>
-                    <DialogTrigger asChild>
-                      <Button 
-                        variant="destructive" 
-                        size="sm" 
-                        className="flex-1 text-xs h-7"
-                        disabled={isClearingDB}
-                      >
-                        <Trash2 className="h-3 w-3 mr-1" />
-                        Clear
-                      </Button>
-                    </DialogTrigger>
+                    <TooltipProvider>
+                      <Tooltip>
+                        <TooltipTrigger asChild>
+                          <DialogTrigger asChild>
+                            <Button 
+                              variant="destructive" 
+                              size="sm" 
+                              className="flex-1 text-xs h-7 px-2"
+                              disabled={isClearingDB}
+                            >
+                              <Trash2 className="h-3 w-3" />
+                            </Button>
+                          </DialogTrigger>
+                        </TooltipTrigger>
+                        <TooltipContent>
+                          <p>Clear database</p>
+                        </TooltipContent>
+                      </Tooltip>
+                    </TooltipProvider>
                     <DialogContent>
                       <DialogHeader>
                         <DialogTitle className="text-destructive">Clear Database</DialogTitle>
@@ -487,21 +534,33 @@ export function DatabaseConnection({ className }: DatabaseConnectionProps) {
               <>
                 <div className="flex items-center gap-2 text-xs md:text-sm">
                   <span className="text-foreground font-medium">
-                    Pinecone
+                    Qdrant
                   </span>
                   <span className="text-foreground font-mono text-[11px] bg-secondary/50 px-2 py-0.5 rounded truncate max-w-full">
-                    direct-http
+                    {(vectorStats as any).url || 'http://qdrant:6333'}
                   </span>
                 </div>
-                
-                {vectorStats.nodes > 0 && (
-                  <div className="text-xs md:text-sm text-muted-foreground">
-                    <div className="flex items-center gap-2">
-                      <Database className="h-3.5 w-3.5" />
-                      <span>{vectorStats.nodes.toLocaleString()} vectors</span>
-                    </div>
+
+                <div className="text-xs md:text-sm text-muted-foreground space-y-1">
+                  <div className="flex items-center gap-2">
+                    <Database className="h-3.5 w-3.5" />
+                    <span>{vectorStats.nodes.toLocaleString()} vectors indexed</span>
                   </div>
-                )}
+
+                  {(vectorStats as any).status && (
+                    <div className="flex items-center gap-2">
+                      <Zap className="h-3.5 w-3.5" />
+                      <span>Status: <span className="capitalize">{(vectorStats as any).status}</span></span>
+                    </div>
+                  )}
+
+                  {(vectorStats as any).vectorSize && (
+                    <div className="flex items-center gap-2">
+                      <InfoIcon className="h-3.5 w-3.5" />
+                      <span>{(vectorStats as any).vectorSize}d ({(vectorStats as any).distance})</span>
+                    </div>
+                  )}
+                </div>
               </>
             )}
             
@@ -520,59 +579,85 @@ export function DatabaseConnection({ className }: DatabaseConnectionProps) {
             )}
             
             <div className="flex gap-2">
-              <Button 
-                variant="outline" 
-                size="sm" 
-                onClick={checkVectorConnection}
-                disabled={vectorConnectionStatus === "checking"}
-                className="flex-1 text-xs h-7"
-              >
-                {vectorConnectionStatus === "checking" ? "Checking..." : "Refresh"}
-              </Button>
-              
+              <TooltipProvider>
+                <Tooltip>
+                  <TooltipTrigger asChild>
+                    <Button
+                      variant="outline"
+                      size="sm"
+                      onClick={checkVectorConnection}
+                      disabled={vectorConnectionStatus === "checking"}
+                      className="flex-1 text-xs h-7 px-2"
+                    >
+                      <RefreshCw className={`h-3 w-3 ${vectorConnectionStatus === "checking" ? "animate-spin" : ""}`} />
+                    </Button>
+                  </TooltipTrigger>
+                  <TooltipContent>
+                    <p>{vectorConnectionStatus === "checking" ? "Checking..." : "Refresh connection"}</p>
+                  </TooltipContent>
+                </Tooltip>
+              </TooltipProvider>
+
               {vectorConnectionStatus === "connected" ? (
                 <>
-                  <Button 
-                    variant="outline" 
-                    size="sm" 
-                    onClick={disconnectVector}
-                    className="flex-1 text-xs h-7"
-                  >
-                    Disconnect
-                  </Button>
-                  
+                  <TooltipProvider>
+                    <Tooltip>
+                      <TooltipTrigger asChild>
+                        <Button
+                          variant="outline"
+                          size="sm"
+                          onClick={disconnectVector}
+                          className="flex-1 text-xs h-7 px-2"
+                        >
+                          <LogOut className="h-3 w-3" />
+                        </Button>
+                      </TooltipTrigger>
+                      <TooltipContent>
+                        <p>Disconnect</p>
+                      </TooltipContent>
+                    </Tooltip>
+                  </TooltipProvider>
+
                   <Dialog open={showClearVectorDialog} onOpenChange={setShowClearVectorDialog}>
-                    <DialogTrigger asChild>
-                      <Button 
-                        variant="destructive" 
-                        size="sm" 
-                        className="flex-1 text-xs h-7"
-                        disabled={isClearingVectorDB}
-                      >
-                        <Trash2 className="h-3 w-3 mr-1" />
-                        Clear
-                      </Button>
-                    </DialogTrigger>
+                    <TooltipProvider>
+                      <Tooltip>
+                        <TooltipTrigger asChild>
+                          <DialogTrigger asChild>
+                            <Button
+                              variant="destructive"
+                              size="sm"
+                              className="flex-1 text-xs h-7 px-2"
+                              disabled={isClearingVectorDB}
+                            >
+                              <Trash2 className="h-3 w-3" />
+                            </Button>
+                          </DialogTrigger>
+                        </TooltipTrigger>
+                        <TooltipContent>
+                          <p>Clear database</p>
+                        </TooltipContent>
+                      </Tooltip>
+                    </TooltipProvider>
                     <DialogContent>
                       <DialogHeader>
-                        <DialogTitle className="text-destructive">Clear Pinecone Database</DialogTitle>
+                        <DialogTitle className="text-destructive">Clear Qdrant Database</DialogTitle>
                         <DialogDescription>
-                          Are you sure you want to clear all data from the Pinecone database? This action cannot be undone.
+                          Are you sure you want to clear all data from the Qdrant vector database? This action cannot be undone.
                         </DialogDescription>
                       </DialogHeader>
                       <Alert variant="destructive" className="mt-2">
                         <AlertCircle className="h-4 w-4" />
                         <AlertTitle>Warning</AlertTitle>
                         <AlertDescription>
-                          This will permanently delete all vectors from the Pinecone database.
+                          This will permanently delete all vectors from the Qdrant database.
                         </AlertDescription>
                       </Alert>
                       <DialogFooter className="gap-2 mt-4">
                         <DialogClose asChild>
                           <Button variant="outline" size="sm">Cancel</Button>
                         </DialogClose>
-                        <Button 
-                          variant="destructive" 
+                        <Button
+                          variant="destructive"
                           size="sm"
                           onClick={clearVectorDatabase}
                           disabled={isClearingVectorDB}
@@ -584,13 +669,13 @@ export function DatabaseConnection({ className }: DatabaseConnectionProps) {
                   </Dialog>
                 </>
               ) : (
-                <Button 
-                  variant="outline" 
-                  size="sm" 
+                <Button
+                  variant="outline"
+                  size="sm"
                   onClick={() => {
                     // Open Vector DB settings
-                    const event = new CustomEvent('open-settings', { 
-                      detail: { tab: 'vectordb' } 
+                    const event = new CustomEvent('open-settings', {
+                      detail: { tab: 'vectordb' }
                     });
                     window.dispatchEvent(event);
                   }}

nvidia/txt2kg/assets/frontend/components/document-actions.tsx

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 "use client"
 
 import { FC, useState, useEffect } from 'react'

nvidia/txt2kg/assets/frontend/components/document-processor.tsx

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 "use client";
 
 import { useState } from "react";

nvidia/txt2kg/assets/frontend/components/document-selection.tsx

@@ -1,20 +1,30 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 "use client"
 
 import { useState, useEffect } from "react"
 import { useDocuments } from "@/contexts/document-context"
 import { CheckCircle, Loader2, FileText, AlertCircle, X } from "lucide-react"
-import { Switch } from "@/components/ui/switch"
-import { Label } from "@/components/ui/label"
 import { Button } from "@/components/ui/button"
-import { Tooltip, TooltipContent, TooltipProvider, TooltipTrigger } from "@/components/ui/tooltip"
 import { useRouter } from "next/navigation"
 import { useShiftSelect } from "@/hooks/use-shift-select"
 
 export function DocumentSelection() {
   const { documents, processDocuments, isProcessing } = useDocuments()
-  const [useLangChain, setUseLangChain] = useState(false)
-  const [useSentenceChunking, setUseSentenceChunking] = useState(true)
-  const [useEntityExtraction, setUseEntityExtraction] = useState(true)
   const [processingStatus, setProcessingStatus] = useState("")
   const [error, setError] = useState<string | null>(null)
   const [forceUpdate, setForceUpdate] = useState(0)
@@ -108,7 +118,7 @@ export function DocumentSelection() {
       
       // Call processDocuments with the selected document IDs
       await processDocuments(selectedDocs, {
-        useLangChain,
+        useLangChain: false,
         useGraphTransformer: false,
         promptConfigs: undefined
       })
@@ -157,65 +167,6 @@ export function DocumentSelection() {
       <h3 className="text-md font-medium">Document Selection</h3>
       <p className="text-sm text-muted-foreground mb-2">Select which documents to process for triple extraction</p>
       
-      <div className="space-y-3 pt-2 mb-4">
-        <h4 className="text-sm font-medium">Processing Options</h4>
-        
-        <div className="space-y-2">
-          <div className="flex items-center space-x-2">
-            <Switch 
-              id="use-langchain" 
-              checked={useLangChain}
-              onCheckedChange={(value) => {
-                setUseLangChain(value);
-                // Dispatch custom event to update other components
-                window.dispatchEvent(new CustomEvent('langChainToggled', { 
-                  detail: { useLangChain: value } 
-                }));
-              }}
-              disabled={isProcessing}
-            />
-            <Label htmlFor="use-langchain" className="text-sm cursor-pointer">Use LangChain</Label>
-          </div>
-          {/* <p className="text-xs text-muted-foreground pl-7">
-            Leverages LangChain for knowledge extraction from documents
-          </p> */}
-          
-          {useLangChain && (
-            <>
-              <div className="flex items-center space-x-2">
-                <Switch 
-                  id="use-sentence-chunking" 
-                  checked={useSentenceChunking}
-                  onCheckedChange={setUseSentenceChunking}
-                  disabled={isProcessing}
-                />
-                <Label htmlFor="use-sentence-chunking" className="text-sm cursor-pointer">
-                  Use Sentence Chunking
-                </Label>
-              </div>
-              <p className="text-xs text-muted-foreground pl-7">
-                Split documents into sentences for more accurate triple extraction
-              </p>
-              
-              <div className="flex items-center space-x-2">
-                <Switch 
-                  id="use-entity-extraction" 
-                  checked={useEntityExtraction}
-                  onCheckedChange={setUseEntityExtraction}
-                  disabled={isProcessing}
-                />
-                <Label htmlFor="use-entity-extraction" className="text-sm cursor-pointer">
-                  Entity Extraction
-                </Label>
-              </div>
-              <p className="text-xs text-muted-foreground pl-7">
-                Automatically detect and extract entities from documents
-              </p>
-            </>
-          )}
-        </div>
-      </div>
-      
       {error && (
         <div className="bg-destructive/10 border border-destructive rounded-md p-4 flex items-start gap-3">
           <AlertCircle className="h-5 w-5 text-destructive mt-0.5 flex-shrink-0" />

nvidia/txt2kg/assets/frontend/components/documents-table.tsx

@@ -1,3 +1,19 @@
+//
+// SPDX-FileCopyrightText: Copyright (c) 1993-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+// SPDX-License-Identifier: Apache-2.0
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+// http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+//
 "use client"
 
 import { useState } from "react"