GraphRAG Retrieval Is Three Decisions: Granularity, Mechanism, and Paradigm

Traditional vector RAG retrieves by embedding the question and finding semantically similar chunks, often augmented with lexical search, filtering, or reranking. This approach works when the answer is explicitly described in one or more chunks. However, it breaks down when the answer depends on relationships between facts.