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Interesting approach. How does Semantica represent provenance across entities and relations in GraphRAG? Is it aligned with something like PROV-O or custom lineage tracking?

Great question! Semantica uses W3C PROV-O compliant provenance - not custom lineage tracking.

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.


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