<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Little Win's Blog :: LangChain4j</title><link>https://blog.littlewin.top/tags/langchain4j/</link><description>Recent content — Little Win's Blog</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><lastBuildDate>Mon, 31 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.littlewin.top/tags/langchain4j/index.xml" rel="self" type="application/rss+xml"/><item><title>CodeSpark</title><link>https://blog.littlewin.top/projects/codespark/</link><pubDate>Mon, 31 Aug 2026 00:00:00 +0000</pubDate><author>小稳</author><guid>https://blog.littlewin.top/projects/codespark/</guid><description>AI 零代码应用生成平台：对话式生成完整应用，Spring Boot 21 + LangChain4j + Vue 3，对话记忆持久化到 RedisJSON。</description></item><item><title>Spring Boot 接入大模型 LangChain4j 实战</title><link>https://blog.littlewin.top/posts/springboot-langchain4j/</link><pubDate>Tue, 12 May 2026 00:00:00 +0000</pubDate><author>小稳</author><guid>https://blog.littlewin.top/posts/springboot-langchain4j/</guid><description> 在毕设项目"智能笔记系统"中，我需要给笔记加上 AI 摘要、写作助手、智能标签推荐、自然语言数据分析四个功能。这篇文章记录我从选型到实现的全过程，重点讲怎么在 Spring Boot 项目中接入大模型 API。</description></item><item><title>Link Mind</title><link>https://blog.littlewin.top/projects/graduation-project/</link><pubDate>Sat, 03 Jan 2026 00:00:00 +0000</pubDate><author>小稳</author><guid>https://blog.littlewin.top/projects/graduation-project/</guid><description>已完成：前后端分离的个人知识管理与智能笔记系统——微信小程序（社区+笔记）+ Web 管理端 + Spring Boot 多模块后端，内置 LangChain4j + DeepSeek 的摘要/润色/标签推荐与配额管控。</description></item></channel></rss>