yu-ai-agent  by liyupi

AI dev project for building an AI dating app and autonomous agent

created 3 months ago
739 stars

Top 47.9% on sourcepulse

GitHubView on GitHub
Project Summary

This project provides a comprehensive, hands-on tutorial for building AI-powered applications, targeting Java developers looking to enhance their skills in the rapidly evolving AI landscape. It aims to equip users with practical knowledge of core AI technologies, enabling them to create sophisticated AI agents and applications, thereby boosting their career competitiveness.

How It Works

The project focuses on practical implementation using Java 21, Spring Boot 3, and Spring AI. It guides users through developing an "AI Love Master" application capable of multi-turn conversations, RAG-based Q&A, and tool/MCP service integration. Additionally, it covers building a self-planning AI agent (YuManus) utilizing the ReAct pattern and various tools like web search and PDF generation. The approach emphasizes understanding and applying concepts like Prompt Engineering, RAG, Vector Databases, Tool Calling, and MCP protocols.

Quick Start & Requirements

  • Install/Run: Primarily Java-based, requiring a Spring Boot development environment. Specific commands for running the applications are detailed within the project's documentation.
  • Prerequisites: Java 21, Spring Boot 3, Spring AI, LangChain4j, PGvector, Ollama (for local LLM deployment), Jsoup, iText, Knife4j. Access to AI model APIs (e.g., SearchAPI, Pexels API) or local LLM deployment via Ollama is necessary.
  • Resources: Requires a development environment with Java and Maven/Gradle. Local LLM deployment may require significant RAM and GPU resources.
  • Links:

Highlighted Details

  • Full-stack development covering both AI service integration and custom AI code implementation.
  • Detailed explanations based on official documentation, including source code analysis.
  • Covers advanced topics like MCP (Model Context Protocol) and ReAct agent development.
  • Includes supplementary learning resources such as resume writing tips and interview questions.

Maintenance & Community

The project is part of the "编程导航" (Programming Navigation) series by "程序员鱼皮" (Programmer YuPi), a known educator in the Chinese developer community. The project offers ongoing support through Q&A services. Further community engagement details are likely within the "编程导航" platform.

Licensing & Compatibility

The repository is hosted on GitHub, implying a standard open-source license. However, the specific license is not explicitly stated in the provided README snippet. Given the educational and commercial-oriented nature of the content, users should verify licensing for commercial use.

Limitations & Caveats

This is presented as a teaching project with a strong emphasis on learning and career advancement. While comprehensive, the depth of production-readiness for each component (e.g., error handling, scalability) may vary, as is typical for tutorial-driven projects. The project relies heavily on external AI services and models, which may incur costs or have usage limitations.

Health Check
Last commit

3 weeks ago

Responsiveness

Inactive

Pull Requests (30d)
1
Issues (30d)
1
Star History
641 stars in the last 90 days

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