今天分享这篇很干的文章！通过对RAG系统的用户Query进行难度区分，进而可以将系统划分为4个等级。 Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely 使用外部数据增强的大型语言模型 ( LLMs ...

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With the rise of generative AI, the idea of RAG, where AI uses information from a specified set of databases and sources to provide accurate answers to complex questions, has become quite prevalent.

The increasingly popular generative artificial intelligence technique known as retrieval-augmented generation -- or RAG, for short -- has been a pet project of enterprises, but now it's coming to ...

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RAG，全称为 Retrieval-Augmented Generation，直译为「检索增强生成」。简单来说，RAG是一种结合了检索和生成的技术方法。它将传统的基于检索的问答系统和基于自然语言生成的技术相结合，提升了 AI 系统在回答自然语言问题时的准确性和可靠性。 在人工智能技术 ...

FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 32 pre-processed benchmark RAG datasets and 15 state-of-the-art ...

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