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Beyond the Single-Pass Limit: How Agentic RAG is Transforming Enterprise AI Architectures
Large language models have established themselves as remarkable text generators across industries, yet they remain fundamentally constrained by a well-documented vulnerability: the tendency to hallucinate. Without immediate access to verified, up-to-date information, these models often produce plausible-sounding answers that are factually incorrect. To combat this limitation, Retrieval-Augmented Generation, commonly known as RAG, emerged as the…
