<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>高级架构 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E9%AB%98%E7%BA%A7%E6%9E%B6%E6%9E%84/</link><description>Recent content in 高级架构 on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Thu, 02 Jul 2026 10:35:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E9%AB%98%E7%BA%A7%E6%9E%B6%E6%9E%84/index.xml" rel="self" type="application/rss+xml"/><item><title>高级RAG模式2026：超越简单向量检索的架构演进</title><link>https://guijiagi.com/posts/advanced-rag-2026-patterns/</link><pubDate>Thu, 02 Jul 2026 10:35:00 +0800</pubDate><guid>https://guijiagi.com/posts/advanced-rag-2026-patterns/</guid><description>系统解析2026年高级RAG架构的设计模式，包括多跳检索、自适应检索与推理增强检索</description></item></channel></rss>