Graph RAG Overview Use graph-native retrieval when the answer depends on relationships, not just similar text. Graph RAG works well for entity-heavy systems, architecture questions, causal chains, and multi-hop queries that plain vector retrieval often misses. When to Use - The user asks how two concepts connect - The answer depends on paths, dependencies, or neighborhoods - Important context is split across multiple files or documents - Vector search returns individually relevant chunks but weak overall explanations - You already have entities, references, or graph structure available Retrie…