Agentic RAG vs. Naive RAG: When Your Retrieval System Should Think for Itself
Large language models are remarkable text generators, but they have a well-documented weakness: they hallucinate. Without access to verified, up-to-date information, they confidently produce plausible-sounding answers that are factually
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