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GraphRAG outperforms vector RAG when answers span multiple documents, like finding recurring themes across customer complaints. Vector RAG retrieves isolated chunks, missing connections between entities. GraphRAG builds a knowledge graph of entities and relationships first, enabling synthesis across the entire corpus.
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