RAG stands for Retrieval-Augmented Generation, a method designed to enhance the capabilities of generative models by incorporating relevant external information retrieved from a large corpus. This approach leverages the strengths of both retrieval and generation to provide more informed and contextually appropriate outputs.
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RAG Techniques
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