📄 中文摘要
随着人工智能技术的迅速发展，检索增强生成（RAG）模型正在经历新的演变。图谱 RAG 和智能 RAG 代表了这一领域的最新进展，前者通过利用图谱结构来增强信息检索的效率和准确性，而后者则强调智能代理的作用，使得检索过程更加灵活和智能化。这些新技术不仅提高了信息获取的速度，还改善了用户体验，使得复杂查询变得更加直观和高效。文章探讨了这两种技术的原理、应用场景及其对未来检索系统的潜在影响，展望了人工智能在信息检索领域的广阔前景。
图谱 RAG 和智能 RAG：检索的下一次进化
出处: Graph RAG and Agentic RAG: The Next Evolution of Retrieval
发布: 2026年2月11日
📄 English Summary
Graph RAG and Agentic RAG: The Next Evolution of Retrieval
With the rapid advancement of artificial intelligence technologies, Retrieval-Augmented Generation (RAG) models are undergoing a new evolution. Graph RAG and Agentic RAG represent the latest developments in this field. Graph RAG enhances the efficiency and accuracy of information retrieval by leveraging graph structures, while Agentic RAG emphasizes the role of intelligent agents, making the retrieval process more flexible and intelligent. These innovations not only speed up information acquisition but also improve user experience, making complex queries more intuitive and efficient. The article explores the principles, application scenarios, and potential impacts of these two technologies on the future of retrieval systems, envisioning a broad prospect for AI in the field of information retrieval.