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Retrieval-Augmented Generation (RAG) is an approach to building AI systems that combines a language model with an external knowledge source. In simple terms, the AI first searches for relevant documents (like articles or webpages) related to a user’s query, and then uses those documents to generate a more accurate answer. This method has been celebrated […]<br /> The post Less Is More: Why Retrieving Fewer Documents Can Improve AI Answers appeared first on Unite.AI.