KaifAhmad1 bdd99f7924 feat(cookbook): add Regulatory Intelligence use case ...

Adds an end-to-end cookbook use case that turns 9 real US federal
AI-governance and cybersecurity-regulation documents into an
explainable, ontology-driven knowledge graph: ingestion, chunking,
entity/relation/triplet extraction, ontology import/generation/
evaluation (6 vendored real W3C ontologies plus SKOS taxonomy),
entity resolution, SHACL validation, deterministic reasoning, PROV-O
provenance, an Oxigraph-backed persistent RDF store, conflict
detection, temporal reasoning, SPARQL, JSON-LD, GraphRAG retrieval,
and a five-agent Decision Intelligence workflow.

Real library rough edges hit along the way (noisy extraction over
dense prose, EntityResolver's batch merge not firing, the stub
OntologyValidator, find_precedents_advanced()'s vector-store bug, and
two VectorStore/HybridSearch bugs that drop metadata or crash for
non-inmemory backends) are reported honestly in the notebook output
and README rather than hidden.

2026-08-05 00:08:03 +05:30

..

test_disease_network_analysis.py

fix(kg): resolve 'unhashable type: Entity' in GraphAnalyzer #159

2026-01-08 17:23:31 +05:30

test_regulatory_intelligence.py

feat(cookbook): add Regulatory Intelligence use case

2026-08-05 00:08:03 +05:30