AIThe New Stackabout 2 hours ago
GraphRAG fixes RAG multi-hop reasoning gaps
7 min read
Standard RAG fails on complex, multi-hop questions because chunked-text retrieval relies on semantic similarity alone. GraphRAG addresses this by structuring knowledge as a graph, enabling relational reasoning across documents. The approach moves beyond simple vector search to answer questions requiring multiple connected facts.
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