<?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>RAG on 清澈解码 · CleanResolver</title><link>https://cleanresolver.com/tags/rag/</link><description>Recent content in RAG on 清澈解码 · CleanResolver</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Wed, 26 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://cleanresolver.com/tags/rag/index.xml" rel="self" type="application/rss+xml"/><item><title>Chroma 向量数据库入门：从 Embedding 到最小 RAG 问答</title><link>https://cleanresolver.com/tutorials/chromadb-guide/</link><pubDate>Wed, 26 Aug 2026 00:00:00 +0000</pubDate><guid>https://cleanresolver.com/tutorials/chromadb-guide/</guid><description>用白话搞懂&amp;#39;向量是什么&amp;#39;，手把手安装 Chroma、增删改查 Collection、嵌入第三方模型，最后拼出一个能检索文档 + LLM 回答的最小 RAG 系统。</description></item><item><title>LangChain RAG 实战：三小时给自己的 AI 装上"知识库"（零基础 Python 教程）</title><link>https://cleanresolver.com/tutorials/langchain-rag-guide/</link><pubDate>Tue, 25 Aug 2026 00:00:00 +0000</pubDate><guid>https://cleanresolver.com/tutorials/langchain-rag-guide/</guid><description>面向零基础用户的 LangChain RAG 教程：加载文档、切分、向量化、相似度检索、拼装回答，跑通一个完整可用的知识库问答机器人，文末附一键部署脚本。</description></item></channel></rss>