Identify when a graph-based RAG approach is a better fit than baseline vector similarity search.
The representation move: match the index to the question scope. GraphRAG exists because some questions are not local lookup problems. A local question asks for a fact, clause, definition, or example. A global question asks for themes, relationships, recurring risks, or corpus-level synthesis. Vector search can retrieve local evidence well, but it may miss patterns distributed across many documents. Chunk retrieval Use it when the answer lives in a small number of passages: a policy rule, a contract clause, a troubleshooting step, or a named entity fact. Graph retrieval Use it when the answer depends on entities, relationships, communities, and…
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