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Retrieval augmented generation (rag) is an architecture for optimizing the performance of an artificial intelligence (ai) model by connecting it with external knowledge. Understanding retrieval augmented generation in ai transform how your ai applications access and utilize knowledge We formulate a search query that incorporates key terms that capture the concept of rag, such as “retrieval augmented generation”, “retrieval augmented generation”, “retrieval.

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了解检索增强生成 (RAG)，这是一种 AI 框架，它结合了基于检索的模型和生成式模型，以生成更准确的回复。 Learn about its origins and its future. Retrieval augmented generation (rag) is a technique that enhances llms by integrating them with external data sources

By combining the generative capabilities.

检索增强生成 (RAG) 是一种将基于通用世界知识的 LLM 与特定于某家企业的信息源（例如文档、SQL 数据库和内部业务应用）相结合的软件体系架构。RAG 提高了 LLM 响应的.