#451 · Primary category: Education & Research

yu-ai-agent

ai ai-model backend frontend java langchain4j mcp rag spring-ai springboot springmvc vector-database

编程导航 AI 开发实战新项目,基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus,覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发(Manas Java 实现)、Cursor AI 工具等核心知识。用一套教程将程序员必知必会的 AI 技术一网打尽,帮你成为 AI 时代企业的香饽饽,给你的简历和求职大幅增加竞争力。

Project last updated:01/07/26

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Why we included this project

Working through this teaching course, you build two AI applications end to end: an emotional-support chatbot that answers questions using a custom knowledge base, and an autonomous agent that plans tasks, calls tools, and produces documents on its own. The lessons cover the whole stack, from Spring AI and RAG with vector storage to tool calling and MCP, and each topic comes with video, written guides, and walkthroughs of the actual source. For developers who prefer following a complete build over reading scattered documentation, this is a practical way to see how modern AI applications fit together.

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