4bef188a19
구현 사항: 1. SubgraphRetriever.retrieve_by_semantic_query() 추가 - 쿼리 임베딩 기반 의미 유사도 검색 - 코사인 유사도로 관련 엔티티 자동 발견 - 의미 임계값(min_similarity) 기반 필터링 - N-hop 확장으로 컨텍스트 그래프 추출 2. Phase 5 GraphRAG API 엔드포인트 완성 (phase5_app.py) - POST /api/v1/graph/resolve: 엔티티 중복 감지/병합 - POST /api/v1/graph/subgraph: N-hop 부분그래프 추출 - POST /api/v1/graph/subgraph/semantic: 의미 기반 부분그래프 추출 - POST /api/v1/graph/patterns/paths: 경로 검색 - POST /api/v1/graph/patterns/cycles: 순환 감지 - POST /api/v1/graph/analytics/centrality: 중심성 분석 - POST /api/v1/graph/analytics/communities: 커뮤니티 감지 3. 종합 테스트 스위트 작성 - test_entity_resolver.py: 24개 테스트 ✅ - test_subgraph_retriever.py: 15개 테스트 ✅ - test_phase5_app.py: 25개 테스트 ✅ - test_rdf_converter.py: 2개 테스트 ✅ - 총 66개 테스트, 모두 통과 성능 목표: - 벡터 임베딩: 10K 엔티티 5초 내 - 의미 검색: 상위 K개 매칭 < 200ms - 부분그래프 추출: 2-hop 쿼리 < 200ms Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
50 lines
3.8 KiB
JSON
50 lines
3.8 KiB
JSON
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"Bash(Get-ChildItem -Force)",
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"Bash(python -c \"import ont_platform; print\\('✓ 패키지 임포트 성공'\\)\")",
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"Bash(python -c \"import ont_platform; print\\('OK'\\)\")",
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"Bash(python ../test_phase0_extraction.py https://example.com)",
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"Bash(python test_extraction.py https://example.com)",
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"PowerShell(cd \"$env:USERPROFILE\\\\MyProject\\\\AI\\\\.claude\\\\worktrees\\\\infallible-mayer-01d511\"; python test_extraction.py https://example.com)",
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"Bash(python -c \"import sentence_transformers, neo4j; print\\(f'sentence-transformers {sentence_transformers.__version__} OK'\\); print\\(f'neo4j {neo4j.__version__} OK'\\)\")",
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"Bash(docker-compose -f docker-compose.neo4j.yml up -d)",
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"Bash(python -m pytest tests/core/graph/test_subgraph_retriever.py -v --tb=short)",
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