RAG stands for Retrieval-Augmented Generation.It’s a technique that enhances the capabilities of large language models (LLMs) by combining them with information retrieval systems. Essentially, RAG allows LLMs to access and utilize external knowledge bases, like company data or specific documents, to provide more accurate, relevant, and up-to-date responses than they could with their pre-trained knowledge alone.
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