mirror of
https://github.com/NVIDIA/dgx-spark-playbooks.git
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de9c46e97e
- Migrate from Pinecone to Qdrant vector database for native ARM64 support - Add Qdrant service with automatic collection initialization in docker-compose - Implement QdrantService with UUID-based point IDs to meet Qdrant requirements - Update all API routes and frontend components to use Qdrant - Enhance Storage Connections UI with detailed stats (vectors, status, dimensions) - Add icons and tooltips to Vector DB section matching Graph DB UX
27 lines
909 B
TypeScript
27 lines
909 B
TypeScript
import { NextRequest, NextResponse } from 'next/server';
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import { QdrantService } from '@/lib/qdrant';
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/**
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* Clear all data from the Pinecone vector database
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* POST /api/pinecone-diag/clear
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*/
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export async function POST() {
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// Get the Pinecone service instance
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const pineconeService = QdrantService.getInstance();
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// Clear all vectors from the database
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const deleteSuccess = await pineconeService.deleteAllEntities();
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// Get updated stats after clearing
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const stats = await pineconeService.getStats();
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// Return response based on operation success
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return NextResponse.json({
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success: deleteSuccess,
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message: deleteSuccess
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? 'Successfully cleared all data from Pinecone vector database'
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: 'Failed to clear Pinecone database - service may not be available',
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totalVectorCount: stats.totalVectorCount || 0,
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httpHealthy: stats.httpHealthy || false
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});
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}
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