cao-ai-agent

### Project Introduction This project features a novel topic and real business applications, providing a comprehensive practical tutorial on essential AI technologies that every programmer should know and master. You will acquire the following knowledge: * Usage of AI application platforms * Integration with AI large models * AI development frameworks (Spring AI + LangChain4j) * Local deployment of AI large models * Prompt engineering and optimization techniques * Multimodal features * Core features of Spring AI: such as custom interceptors, context persistence, and structured output * RAG (Retrieval-Augmented Generation) knowledge bases and vector databases * Tool Calling * MCP (Model Context Protocol) model context protocol and service development * Principles of AI agent Manus and autonomous development * AI service-oriented architecture and serverless deployment ### Tech Stack * Java 21 + Spring Boot 3 framework * ⭐️ Spring AI + LangChain4j * ⭐️ RAG knowledge base * ⭐️ PGvector vector database * ⭐ Tool Calling * ⭐️ MCP model context protocol * ⭐️ ReAct Agent construction * ⭐️ Serverless computing services * ⭐️ AI large model development platform Bai Lian * ⭐️ Cursor AI code generation + MCP * Third-party interfaces: such as SearchAPI / Pexels API * Ollama large model deployment * Kryo high-performance serialization * Jsoup web scraping * iText PDF generation * Knife4j API documentation