When your knowledge has structure and relationships, not just documents, plain vector RAG leaves value on the table. Graph RAG represents entities and their relationships as a graph and retrieves over that structure, so questions that need connecting facts across documents ("who worked on X that also touches Y") become answerable.

This deep dive covers when graph RAG earns its extra complexity and when it does not.