Retrieval-Augmented Generation for Large Language Models: A Survey - 大型语言模型的检索增强生成:一项综述研究 摘要 大型语言模型(LLMs)展示了令人印象深刻的能力,但也面临着幻觉、过时知识以及非透明、无法追溯的推理过程等挑战。检索增强生成(RAG)作为一种有前途的解决方案,通过整合来自外部数据库的知识来提高生成...
检索增强生成(RAG, Retrieval-Augmented Generation) 最早由Lewis等人于2020引入,将预先训练的检索器与预先训练的seq2seq模型(生成器)相结合,并进行端到端的微调,以更可解释和模块化的方式获取知识。 在大型模型出现之前,RAG主要专注于端到端模型的直接优化。在检索端进行密集检索,例如Karpukhin等人使用基于向量的密集...
Large Language Models (LLMs):大型预训练语言模型,能够理解和生成自然语言文本。 Retrieval-Augmented Generation (RAG):检索增强生成,一种结合外部数据检索和文本生成的技术。 Hallucinations:在语言模型生成的文本中出现的不真实或错误信息。 Embedding Models:将文本转换为数值向量的模型,用于在RAG中表示文档和查询的...
本文原作为论文“Retrieval-Augmented Generation for Large Language Models: A Survey”,作者为Yunfan Gao、Yun Xiong、Xinyu Gao 、Kangxiang Jia、Jinliu Pan、Yuxi Bi、Yi Dai、Jiawei Sun、Qianyu Guo、Meng Wang、Haofen Wang。该论文全面审视了大型语言模型中的RAG(检索增强生成,Retrieval-Augmented Generation)...
arXiv preprint. 2024.M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions 本文提出了检索增强生成的一种多分区范式(称为 M-RAG),其中每个数据库分区作为检索增强生成执行的一个基本单元。基于此范式,本文提出一种创新的框架,该框架利用 LLMs 和多智能...
Leveraging Retrieval-Augmented Generation forReliable Medical Question Answering Using Large Language Modelsdoi:10.1007/978-3-031-74186-9_12Generative language models have changed the landscapeof artificial intelligence in recent years. However, despitetheir advanced capabilities, they are prone to generate ...
那么一种基于通用大模型,并外挂本地知识库的人工智能方法RAG(Retrieval Augmented Generation)就运用而生。通过这种方法,中小型企业可以用很少的人力,物力,在不改动通用大模型的情况下,就能结合自身需要,为自己的业务场景服务。 2. 框架图和简单介绍 接下来,我们就来介绍RAG。我们先看标准的RAG流程或框架图,然后在...
Like a good judge, large language models (LLMs) can respond to a wide variety of human queries. But to deliver authoritative answers that cite sources, the model needs an assistant to do some research. The court clerk of AI is a process calledretrieval-augmented generation, or RAG for shor...
Automating Systematic Literature Reviews with Retrieval-Augmented Generation: A Comprehensive Overview This study examines Retrieval-Augmented Generation (RAG) in large language models (LLMs) and their significant application for undertaking systematic liter... B Han,T Susnjak,A Mathrani - Applied Science...
Retrieval-Augmented Generation FAQs Generative artificial intelligence (AI) excels at creating text responses based on large language models (LLMs) where the AI is trained on a massive number of data points. The good news is that the generated text is often easy to read and provides detailed ...