Retrieval-Augmented Generation (RAG): Enhancing the Intelligence of Chatbots
Retrieval-Augmented Generation (RAG) technology is a core method for enhancing chatbot intelligence, primarily aimed at improving the accuracy and contextual understanding of dialogue systems. Due to its advantages in combining information retrieval with response generation—offering efficiency, flexibility, and intelligence—RAG has a broad potential in optimizing the response quality of chatbots.
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