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Learn More Retrieval-augmented generation (RAG) has become the de facto way of customizing large language models (LLMs) for bespoke information. However, RAG comes with upfront technical costs and ...

RAG（Retrieval Augmented Generation，检索增强生成）是一种将 LLM 与外部数据源（例如私有数据或最新数据）连接的通用方法。它允许 LLM 使用外部数据来生成其输出。 这个图看起来很让人头大，但是不用担心，你来对地方了。 本系列教程将从头开始介绍如何建立对 RAG ...

MiniRAG优化RAG系统，小模型高效，提升性能且存储节省75%。 还在为部署RAG系统的庞大体积和高性能门槛困扰吗？港大黄超教授团队最新推出的轻量级 ...

【新智元导读】还在为部署RAG系统的庞大体积和高性能门槛困扰吗？港大黄超教授团队最新推出的轻量级MiniRAG框架很好地解决了这一问题。通过优化 ...

With the launch of the Contextual AI Platform, enterprises will be able to create specialized “RAG agents” that can automate knowledge work on behalf of users. The new platform is based on an ...

原文： Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely ...

Built using ElevenLabs for voice synthesis, a Retrieval-Augmented Generation (RAG) system for intelligent data handling, and n8n for workflow automation, Eric is more than just a voice—he’s a ...