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Author:
Antony
Summary:
Knowledge-graph-augmented retrieval for RAG systems: Neo4j-backed entity extraction (regex or LLM-based), co-occurrence graphs, entity deduplication, and GraphRetriever for hybrid vector+graph retrieval via the optional ragleap-rag integration. Framework-agnostic, optional multi-tenant namespacing, no hardcoded models or vocabulary.
Latest version:
0.9.0
Required dependencies:
neo4j
Optional dependencies:
psycopg2-binary
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pytest
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pytest-asyncio
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ragleap-rag
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