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RAG (Retrieval-Augmented Generation)

RAG is an AI architecture that pairs a large language model with a retrieval system, pulling relevant source content at query time so the model's answer is grounded in real information instead of relying only on what it learned during training. It's the technology behind many AI support chatbots and in-product help assistants, and its answers are only as accurate as the content retrieved — which is why clean, well-tagged source content matters.

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