Added Metadata filtering, scaffolding for all, fully implemented for Postgres (pgvector) and Neo4j #2187
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…querying - Implement custom metadata insertion as node properties during file upload. - Add basic metadata filtering functionality to query API --NOTE: While the base.py file has been modified, the base implementation is incomplete and untested. Only Neo4j database has been properly implemented and tested. WIP: Query API is temporarily mocked for debugging. Full implementation with complex AND/OR filtering capabilities is in development. # Conflicts: # lightrag/base.py # lightrag/lightrag.py # lightrag/operate.py
Added metadata filter dataclass for serializing and deserializing complex filter to json dict, added node filtering based on metadata
Added functioning (needs testing) metadata filtering on chunks for query. Fully implemented only on Postgres with pgvector and Neo4j
Added metadata management for chunks in querying for all vdb, ONLY posgres with pgvector has been fully implemented
…s for metadata filtering to optimize speed
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Description
Added custom metadata on chunks and nodes with possibility of filtering in query to narrow the field of the knowledge base to pull context from, to both enhance precision and speed.
Metadata are stored as a json string and indexe
Metadata_filter class supports operators for AND, NOT, OR clauses and nested metadata_filter classes for chained or hierarchical filters, [ ... ] arrays for multiple possible values for a single metadata key.
I will gladly cooperate for bugfixing and further development.
Related Issues
As requested and discussed into question/issue #1985
Changes Made
Checklist
Additional Notes
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