<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LangGraph on 黄文卓 | DevOps Engineer</title><link>https://socake.github.io/tags/langgraph/</link><description>Recent content in LangGraph on 黄文卓 | DevOps Engineer</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>17691281867@163.com (Wenzhuo Huang)</managingEditor><webMaster>17691281867@163.com (Wenzhuo Huang)</webMaster><copyright>© 2026 Wenzhuo Huang</copyright><lastBuildDate>Sun, 15 Feb 2026 12:44:00 +0800</lastBuildDate><atom:link href="https://socake.github.io/tags/langgraph/index.xml" rel="self" type="application/rss+xml"/><item><title>LangGraph 工作流编排：构建有状态的 AI 应用</title><link>https://socake.github.io/posts/langgraph-workflow-orchestration/</link><pubDate>Sun, 15 Feb 2026 12:44:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/langgraph-workflow-orchestration/</guid><description>从LangChain Chain的局限出发，讲清楚LangGraph的状态机模型、Graph/Node/Edge的设计方式，以及条件分支、循环、人工介入、Checkpoint持久化的工程实现，最后用一个运维诊断工作流串起来所有概念。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/langgraph-workflow-orchestration/featured.jpg"/></item><item><title>LangChain 从入门到实战：构建 LLM 应用的工程框架</title><link>https://socake.github.io/posts/langchain-practical-guide/</link><pubDate>Mon, 09 Feb 2026 11:01:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/langchain-practical-guide/</guid><description>LangChain 是构建 LLM 应用最流行的框架，但也是踩坑最多的框架之一。本文从 LCEL 表达式、ReAct Agent、LangGraph 工作流到生产部署，梳理真正有用的部分，并指出哪些功能实际工程中应该避免。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/langchain-practical-guide/featured.jpg"/></item></channel></rss>