Content
### Project Introduction
This project features a novel topic and real business applications, providing a comprehensive practical tutorial covering essential AI technologies that every programmer should know.
You will master 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, structured output
* RAG (Retrieval-Augmented Generation) knowledge base 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 APIs: such as SearchAPI / Pexels API
* Ollama large model deployment
* Kryo high-performance serialization
* Jsoup web scraping
* iText PDF generation
* Knife4j API documentation
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