AI Development Tutorial Project
2.1k 2026-04-18

liyupi/yu-ai-agent

A comprehensive AI development tutorial project based on Spring Boot 3 and Spring AI, guiding developers to build AI applications and agents with core AI technologies.

Core Features

Develop AI applications (e.g., AI Love Master) with multi-turn dialogue, RAG, and tool calling.
Build autonomous AI agents (e.g., YuManus) based on the ReAct pattern.
Master core AI technologies: Spring AI, Prompt Engineering, RAG, Vector Databases, Tool Calling, MCP.
Hands-on experience with Java 21, Spring Boot 3, and various AI models/platforms.
Comprehensive learning path covering architecture design, development, optimization, and deployment.

Detailed Introduction

This project serves as a comprehensive, hands-on AI development tutorial, guiding programmers through the creation of practical AI applications and intelligent agents. Utilizing modern technologies like Spring Boot 3, Java 21, and Spring AI, participants will build an "AI Love Master" application for emotional guidance and an autonomous "YuManus" AI agent capable of planning and executing tasks. The curriculum delves into essential AI concepts including large language model integration, prompt engineering, RAG for knowledge retrieval, vector databases (PgVector), tool calling, and the Model Context Protocol (MCP). By covering architecture design, development best practices, and deployment strategies, the project aims to equip developers with the skills necessary to excel in the AI era and significantly boost their career competitiveness.

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