When Should You Use GraphRAG Instead of RAG? (opens in new tab)

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, eve...