<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LangChina on 君辞的个人空间</title><link>https://xyr723.github.io/tags/langchina/</link><description>Recent content from 君辞的个人空间</description><generator>Hugo</generator><language>zh-CN</language><copyright>本博客所有文章除特别声明外，均采用 BY-NC-SA 许可协议。转载请注明出处！</copyright><lastBuildDate>Wed, 29 Apr 2026 03:07:00 +0000</lastBuildDate><atom:link href="https://xyr723.github.io/tags/langchina/index.xml" rel="self" type="application/rss+xml"/><item><title>【LangChain】底层逻辑</title><link>https://xyr723.github.io/post/2026-04-28-langchain/</link><pubDate>Tue, 28 Apr 2026 17:35:00 +0000</pubDate><guid>https://xyr723.github.io/post/2026-04-28-langchain/</guid><description>
<![CDATA[<h1>【LangChain】底层逻辑</h1><p>作者：君辞（）</p>
        
          <h2 id="1什么是langchain">
<a class="header-anchor" href="#1%e4%bb%80%e4%b9%88%e6%98%aflangchain"></a>
1.什么是LangChain
</h2><p>LangChain是一个开源的开发框架，使用Python构建基于大模型的AI应用相关的模块和工具。通过LangChain，可以完成LLM集成。</p>
        
        <hr><p>本文2026-04-28首发于<a href='https://xyr723.github.io/'>君辞的个人空间</a>，最后修改于2026-04-29</p>]]></description><category>Agent学习</category></item></channel></rss>