GraphRAG is a retrieval-augmented generation (RAG) pattern that replaces or supplements the usual vector store with a knowledge graph, allowing large language models to retrieve structured, relationship-aware context. It is used by AI architects and engineers who need more precise, relationship-based reasoning in production RAG systems.