Retrieval-Augmented Generation (RAG)

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Retrieval-Augmented Generation (RAG) is a method of generating text by first retrieving relevant information from a knowledge base and then generating text based on that information. This can be done by using a retrieval model to find relevant documents or passages, and then using a language model to generate text that is consistent with the retrieved information.

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