Graph-RAG combines retrieval-augmented generation with knowledge graphs, enabling the system to understand relationships between data points rather than pulling isolated document chunks. Where standard RAG retrieves passages that are textually relevant to a query, Graph-RAG also retrieves connected entities and relationships.
This richer retrieval enables more sophisticated reasoning about how pieces of information relate to each other — which is often exactly what enterprise queries require. Asking how a change in one supplier's delivery schedule affects downstream production commitments is the kind of relationship-heavy question that benefits from graph-enhanced retrieval.
