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Beyond Naive Retrieval: How Agentic RAG is Reshaping Enterprise AI Architecture
Large language models have proven themselves to be remarkable text generators, yet they remain anchored by a well-documented and persistent vulnerability: they hallucinate. When operating without direct access to verified, up-to-date information, these systems frequently produce plausible-sounding answers that are factually incorrect. To combat this limitation, Retrieval-Augmented Generation, commonly known as RAG, emerged as the…
