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Retrieval-Augmented Generation (RAG) has revolutionized how we build AI applications that can reason over custom documents and knowledge bases.
Retrieval-Augmented Generation (RAG) is an advanced AI architecture that combines two key components, a retriever to fetch relevant information from an external knowledge source and a generator (a large language model) to create human-like responses using that information.
