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- Add triple structure logging in API route for debugging - Update graph-db-service imports for multi-hop fields - Improve embeddings generator UI responsiveness - Enable data pipeline verification for depth/pathLength fields These changes help diagnose issues with multi-hop data flow and ensure proper propagation of metadata through the stack. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
51 lines
2.0 KiB
TypeScript
51 lines
2.0 KiB
TypeScript
import { NextRequest, NextResponse } from 'next/server';
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import backendService from '@/lib/backend-service';
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import { getGraphDbType } from '../settings/route';
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/**
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* API endpoint for LLM-enhanced graph query
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* This retrieves triples using graph search and generates an answer using LLM
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* Makes traditional graph search comparable to RAG for fair benchmarking
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* POST /api/graph-query-llm
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*/
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export async function POST(request: NextRequest) {
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try {
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const { query, topK = 5, useTraditional = true, llmModel, llmProvider } = await request.json();
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if (!query) {
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return NextResponse.json({ error: 'Query is required' }, { status: 400 });
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}
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// Initialize backend if needed with the selected graph DB type
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if (!backendService.isInitialized) {
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const graphDbType = getGraphDbType();
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console.log(`Initializing backend with graph DB type: ${graphDbType}`);
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await backendService.initialize(graphDbType);
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}
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console.log(`Graph query with LLM: "${query}", topK=${topK}, traditional=${useTraditional}, model=${llmModel || 'default'}, provider=${llmProvider || 'default'}`);
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// Query the backend with LLM enhancement
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const result = await backendService.queryWithLLM(query, topK, useTraditional, llmModel, llmProvider);
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// DEBUG: Log first triple in API route to verify depth/pathLength
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if (result.triples && result.triples.length > 0) {
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console.log('API route - first triple:', JSON.stringify(result.triples[0], null, 2));
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}
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// Return results
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return NextResponse.json({
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query,
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answer: result.answer,
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triples: result.triples,
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count: result.count,
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message: `Retrieved ${result.count} triples and generated answer using ${useTraditional ? 'traditional' : 'vector'} graph search + LLM`
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});
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} catch (error) {
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console.error('Error in graph query with LLM:', error);
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const errorMessage = error instanceof Error ? error.message : 'Unknown error';
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return NextResponse.json({ error: errorMessage }, { status: 500 });
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}
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}
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