Standards-Based: Full PROV-O implementation (prov:Entity, prov:Activity, prov:Agent, prov:wasDerivedFrom)
Complete GraphRAG Coverage: Document → Chunk → Entity → Relationship → Query → Response
Graph Store Integration: Automatic tracking for Neo4j, FalkorDB, Neptune, and upcoming Apache AGE
Enterprise Features: SHA-256 checksums, source quotes, page numbers, bridge axiom chains
python store = GraphStoreWithProvenance(provenance=True) manager.track_entity( entity_id="person_123", source_document="doc.pdf", source_location="page 42", source_quote="John Doe was born in 1980..." ) Bottom line: Audit-grade provenance tracking for high-stakes GraphRAG where every decision must be traceable back to source material.
TL;DR: W3C PROV-O compliant, not custom - designed for domains where audit trails matter.
kaifahmad1•1h ago
The goal is to make semantics and provenance explicit and queryable, rather than hidden in prompts or embeddings.
It’s open source and used in real systems. Feedback and criticism are very welcome.