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RAG (Retrieval-Augmented Generation) combines two functions: searching for information in a reliable corpus and generating text. AI begins by querying a database or content library, then formulates a clear, contextualized response. This approach guarantees sourced, accurate, and more reliable responses than those produced by a “pure” model.