When Should You Use GraphRAG Instead of RAG?

Most teams building LLM applications start with RAG for a good reason. It is practical, easy to understand, and usually good enough for a simple AI use case.

But once users stop asking simple lookup questions and start asking relationship-heavy questions, standard RAG can get shallow fast.

The issue is not that RAG is bad. The issue is that many real questions are not just about finding a relevant paragraph. They are about following connections across people, products, systems, documents, events, or dependencies.

That is the gap GraphRAG tries to fill.

RAG vs GraphRAG

When Should You Use GraphRAG Instead of RAG?

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