<?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>向量检索 on Hex4C59's Blog</title><link>http://hex4c59.cc/tags/%E5%90%91%E9%87%8F%E6%A3%80%E7%B4%A2/</link><description>Recent content in 向量检索 on Hex4C59's Blog</description><generator>Hugo -- 0.150.0</generator><language>zh-cn</language><lastBuildDate>Wed, 25 Mar 2026 12:23:49 +0800</lastBuildDate><atom:link href="http://hex4c59.cc/tags/%E5%90%91%E9%87%8F%E6%A3%80%E7%B4%A2/index.xml" rel="self" type="application/rss+xml"/><item><title>什么是 RAG：让大模型用上你自己的知识库</title><link>http://hex4c59.cc/agent/what-is-rag/</link><pubDate>Wed, 25 Mar 2026 12:00:00 +0800</pubDate><guid>http://hex4c59.cc/agent/what-is-rag/</guid><description>从检索增强生成的基本流程出发，说明索引、向量化、混合检索与重排序等关键环节，以及 RAG 与微调、Agent 的关系。</description></item></channel></rss>