RAGGraph-RAGKnowledge Graphs
RAG vs Graph-RAG: A Decision Framework for Enterprise AI
Use standard RAG when your questions can be answered from individual documents, and use Graph-RAG when your questions require connecting facts across documents — relationships, hierarchies, and multi-hop reasoning. Standard RAG is cheaper, faster to ship, and sufficient for roughly 80% of enterprise use cases. Graph-RAG earns its added cost and complexity only when relationship-heavy queries are central to the workload, not occasional. This post gives you a concrete framework to decide which one fits your data — and flags the cases where Graph-RAG is expensive overkill.
Sift Tech Team··7 min read
