What is GraphRAG? How does it differ from standard vector RAG?

Standard RAG retrieves flat chunks by vector similarity. GraphRAG stores knowledge as a graph (entities as nodes, relationships as edges, e.g. in Neo4j) enabling multi-hop reasoning ('subsidiaries of Apple's chip suppliers') that flat vector search can't express — Spring AI's Neo4j VectorStore supports hybrid graph+vector queries.