<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Agentic RAG on Peng Tan's AI Blog</title><link>https://c44db530.hobbytp-github-io.pages.dev/zh/tags/agentic-rag/</link><description>一个关注 AI 各领域的专题博客</description><atom:link href="https://c44db530.hobbytp-github-io.pages.dev/zh/tags/agentic-rag/index.xml" rel="self" type="application/rss+xml"/><item><title>Agentic设计模式：Agentic RAG</title><link>https://c44db530.hobbytp-github-io.pages.dev/zh/mas/agent_design_patterns/agentic_rag_design_pattern/</link><pubDate>Mon, 03 Nov 2025 20:10:00 +0800</pubDate><guid>https://c44db530.hobbytp-github-io.pages.dev/zh/mas/agent_design_patterns/agentic_rag_design_pattern/</guid><description>Agentic RAG模式是基础检索增强生成（RAG）模式的**高级演进**，它在传统的检索-生成流程中**嵌入了推理和决策层**（即智能体），从而将 RAG 从一个被动的数据管道转变为一个**主动的问题解决框架**。它显著提升了信息提取的**可靠性和深度**。</description></item></channel></rss>