Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models. Retrieval-augmented generation (RAG ...

Welcome to Journey 1: RAG and knowledge retrieval fundamentals. This space is designed to help you understand how retrieval and indexing work together to enhance AI-generated responses. In this ...

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近年来，GitHub 上涌现出了大量开源 RAG 框架，它们在架构设计、数据预处理、检索策略、生成策略等方面各具特色。接下来，我们将详细介绍几款较为流行的 RAG 框架，并分析它们各自的优缺点。 随着大型语言模型在自然语言处理中的广泛应用，其固有的知识 ...

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Reflecting on my recent trip to take part in the 80th anniversary commemoration of the Long March, the words that keep coming to my mind are “once in a lifetime.” ContinueIn the footsteps of ...

Couchbase的Capella AI服务帮助像您这样的开发者快速构建高性能的RAG和自主代理应用程序。请随时注册我们的私人预览以开始您的AI项目。 长文本模型非常适合减少某些需要更长上下文用例的幻觉，但并非所有情况都理想。 译自Solving the RAG vs. Long Context Model Dilemma ...

Simba is an open-source, portable Knowledge Management System (KMS) designed specifically for seamless integration with Retrieval-Augmented Generation (RAG) systems. With its intuitive UI, modular ...