<?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>LangChain on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/langchain/</link><description>Recent content in LangChain 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>Mon, 13 Jul 2026 07:10:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/langchain/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Agent的开发者工具链生态：从原型到生产的全栈工具</title><link>https://guijiagi.com/posts/article-86/</link><pubDate>Mon, 13 Jul 2026 07:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/article-86/</guid><description>系统梳理AI Agent开发的全栈工具链，涵盖框架、评测、监控、部署等关键环节</description></item><item><title>LangChain 2026演进：从框架到平台</title><link>https://guijiagi.com/posts/langchain-2026-evolution/</link><pubDate>Thu, 02 Jul 2026 11:27:00 +0800</pubDate><guid>https://guijiagi.com/posts/langchain-2026-evolution/</guid><description>2026年LangChain生态系统演进全景，从LLM框架到AI应用平台</description></item><item><title>LangChain Agent生产化实践</title><link>https://guijiagi.com/posts/langchain-agent-production/</link><pubDate>Thu, 02 Jul 2026 11:17:00 +0800</pubDate><guid>https://guijiagi.com/posts/langchain-agent-production/</guid><description>从原型到生产，LangChain Agent工程化的关键挑战与解决方案</description></item><item><title>LangGraph 2026：图式Agent工作流的最佳实践</title><link>https://guijiagi.com/posts/langgraph-2026-graph-agent-workflow-best-practices/</link><pubDate>Tue, 30 Jun 2026 09:30:00 +0800</pubDate><guid>https://guijiagi.com/posts/langgraph-2026-graph-agent-workflow-best-practices/</guid><description>深入解析LangGraph 2026版本的图式Agent工作流引擎，从状态管理到条件路由的完整实践指南</description></item><item><title>AI Agent框架2026：LangChain vs AutoGen vs CrewAI深度对比</title><link>https://guijiagi.com/posts/ai-agent-framework-comparison-2026/</link><pubDate>Tue, 30 Jun 2026 09:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/ai-agent-framework-comparison-2026/</guid><description>2026年三大AI Agent框架深度横评：架构设计、多Agent协作、工具调用、记忆系统、生产部署全维度对比与选型指南</description></item><item><title>LangChain 2026 生态全景：从 LangGraph 到 LangSmith</title><link>https://guijiagi.com/posts/langchain-2026-ecosystem/</link><pubDate>Sun, 28 Jun 2026 11:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/langchain-2026-ecosystem/</guid><description>全面解析 LangChain 2026 年生态系统，涵盖 LangGraph 状态机编排、LangSmith 可观测性平台、LangServe 部署工具及最新生态组件</description></item><item><title>LangChain vs LlamaIndex 2026对比</title><link>https://guijiagi.com/posts/langchain-vs-llamaindex-2026/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/langchain-vs-llamaindex-2026/</guid><description>LangChain vs LlamaIndex 2026对比</description></item><item><title>LangChain生态系统2026版</title><link>https://guijiagi.com/posts/langchain-ecosystem-2026/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/langchain-ecosystem-2026/</guid><description>LangChain生态系统2026版</description></item><item><title>LangChain vs LlamaIndex vs CrewAI：AI 框架三巨头对比</title><link>https://guijiagi.com/posts/langchain-vs-llamaindex-vs-crewai/</link><pubDate>Thu, 25 Jun 2026 12:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/langchain-vs-llamaindex-vs-crewai/</guid><description>深度对比 LangChain、LlamaIndex 和 CrewAI 三大 AI 开发框架的架构设计、核心能力、性能表现与适用场景，帮助开发者做出正确选型。</description></item><item><title>LangGraph vs LangChain：该用哪个构建 Agent</title><link>https://guijiagi.com/posts/langgraph-vs-langchain/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/langgraph-vs-langchain/</guid><description>LangChain 的痛点在哪？LangGraph 如何用图结构解决 Agent 编排问题？本文从状态管理、条件边、检查点到 Human-in-the-loop，全面对比两个框架并给出迁移建议。</description></item><item><title>LangChain vs LangGraph：Agent 框架的演进与选择</title><link>https://guijiagi.com/posts/langchain-langgraph-review/</link><pubDate>Wed, 24 Jun 2026 12:30:00 +0800</pubDate><guid>https://guijiagi.com/posts/langchain-langgraph-review/</guid><description>LangChain 生态深度解析：从链式调用到图式编排的范式转变</description></item><item><title>LangGraph 深度解析：基于图的工作流引擎如何重塑 Agent 开发</title><link>https://guijiagi.com/posts/langgraph-deep-dive/</link><pubDate>Tue, 23 Jun 2026 14:10:00 +0800</pubDate><guid>https://guijiagi.com/posts/langgraph-deep-dive/</guid><description>从架构设计到实战代码，全面解读 LangGraph 的图工作流模型</description></item></channel></rss>