d2c9e6e2ec
Implement automatic orphan entity connection system that identifies entities with no relationships and creates meaningful connections via vector similarity + LLM validation. This improves knowledge graph connectivity and retrieval quality. Changes: - Add orphan connection configuration parameters (thresholds, cross-connect settings) - Implement aconnect_orphan_entities() method with 4-step validation pipeline - Add SQL templates for efficient orphan and candidate entity queries - Create POST /graph/orphans/connect API endpoint with configurable parameters - Add orphan connection validation prompt for LLM-based relationship verification - Include relationship density requirement in extraction prompts to prevent orphans - Update docker-compose.test.yml with optimized extraction parameters - Add quality validation test suite (run_quality_tests.py) for retrieval evaluation - Add unit test framework (test_orphan_connection_quality.py) with test cases - Enable auto-run of orphan connection after document processing |
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| .. | ||
| test_entity_resolution | ||
| conftest.py | ||
| README_WORKSPACE_ISOLATION_TESTS.md | ||
| run_quality_tests.py | ||
| test_aquery_data_endpoint.py | ||
| test_chunking.py | ||
| test_curl_aquery_data.sh | ||
| test_graph_storage.py | ||
| test_lightrag_ollama_chat.py | ||
| test_orphan_connection_quality.py | ||
| test_postgres_retry_integration.py | ||
| test_workspace_isolation.py | ||
| test_write_json_optimization.py | ||