This update introduces checks for vector dimension compatibility before migrating legacy data in both PostgreSQL and Qdrant storage implementations. If a dimension mismatch is detected, the migration is skipped to prevent data loss, and a new empty table or collection is created for the new embedding model. Key changes include: - Added dimension checks in `PGVectorStorage` and `QdrantVectorDBStorage` classes. - Enhanced logging to inform users about dimension mismatches and the creation of new storage. - Updated E2E tests to validate the new behavior, ensuring legacy data is preserved and new structures are created correctly. Impact: - Prevents potential data corruption during migrations with mismatched dimensions. - Improves user experience by providing clear logging and maintaining legacy data integrity. Testing: - New tests confirm that the system behaves as expected when encountering dimension mismatches. |
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| .. | ||
| api | ||
| evaluation | ||
| kg | ||
| llm | ||
| tools | ||
| __init__.py | ||
| base.py | ||
| constants.py | ||
| exceptions.py | ||
| lightrag.py | ||
| namespace.py | ||
| operate.py | ||
| prompt.py | ||
| rerank.py | ||
| types.py | ||
| utils.py | ||
| utils_graph.py | ||