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How does RAG find the right context?
Retrieval-Augmented Generation (RAG) helps a language model answer with facts drawn from your own documents. Instead of relying only on what the model “knows,” it retrieves relevant text passages and then writes a response grounded in them. The key question is how it selects the right passages from a large collection during a conversation.
Written byKatherine Holland
Published onDecember 31, 2025
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