Alex 4e0c792a6d feat(graphrag): GraphRAGRetriever (PPR local) + register + ClassicRAG fallback ...

Query-side: composes ClassicRAG (rephrase/budget/fallback). Per source: pgvector entity-name seed -> bounded subgraph -> networkx personalized PageRank (IDF hub down-weight) -> rank graph_node_chunks -> chunk text -> shared token budget; no LLM at query time. Citations derived from chunk metadata (matches ClassicRAG). Falls back to ClassicRAG per-source when no graph rows / unavailable / error (retrieval never breaks). get_chunk_texts queries the co-located documents table by configured table/column names (parameterized). Registered 'graphrag'. Unit G5.

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..

__init__.py

feat(graphrag): config.graph sub-model + settings + pgvector availability gate

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extraction.py

feat(graphrag): ingest-time extraction pipeline (entities/relations -> graph)

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store.py

feat(graphrag): GraphRAGRetriever (PPR local) + register + ClassicRAG fallback

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