- Add queryWithLLM method to BackendService
- Retrieves top K triples from graph and uses LLM to generate answers
- Supports configurable LLM model and provider selection
- Uses research-backed prompt structure for KG-enhanced RAG
- Includes fallback handling for LLM errors
- Create new /api/graph-query-llm endpoint for graph search + LLM generation
- Retrieves triples using graph search and generates answers using LLM
- Supports both traditional and vector-based graph search
- Makes traditional graph search comparable to RAG for benchmarking
- Add optional Pinecone and sentence-transformers services for vector search
- Configure NVIDIA GPU support with proper environment variables
- Add new environment variables for embeddings and Pinecone
- Add docker compose profiles to optionally enable vector-search
- Improve CUDA configuration for Ollama service
- Add pinecone-net network for service communication
