Why it matters

Graph RAG handles multi-hop reasoning. Understanding shapes complex RAG.

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The architecture

Extract: entities + relations.

Store: Neo4j or similar.

Query: graph traversal + text retrieval.

Graph RAG structureExtract triplesentity-rel-entityGraph storeNeo4j / NeptuneRetrievegraph + textMicrosoft GraphRAG + LlamaIndex support graph RAG patterns
Graph RAG.
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How it works end to end

Extraction: LLM identifies entities + relations.

Store: property graph.

Query: match entities → traverse.

Combine with text chunks.