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GraphRAG combines Retrieval-Augmented Generation with a graph database, either alongside or instead of a vector database. Traditional #RAG grounds an #LLM ’s output using trusted external data; GraphRAG strengthens this by using a graph to model entities and their relationships. That structure gives the model deeper context and produces more ...
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