post-graph-rag: A PostgreSQL-Native Graph RAG Engine
arXiv cs.AIen
arXiv cs.AI
AI Global WirearXiv:2608.24921v1 Announce Type: new Abstract: Graph-based retrieval-augmented generation connects facts that no single passage states, but current implementations pay for that three times: in infrastructure, requiring a vector store, graph database and document store to be kept consistent; in graph quality, because an extraction pipeline that never refuses output fills the graph with edges that assert nothing; and over time, because a graph that only accumulates treats superseded and current facts alike. post-graph-rag is an open-source engine addressing all three. Text chunks with embeddings, a canonical entity graph and community summaries live in one PostgreSQL database, with pgvector f
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