Spring Ai In Action Pdf Github Link | No Password

Model Agnostic API: Write your code once and switch between different AI models (e.g., from GPT-4 to Claude) with minimal configuration changes.

Spring AI is a part of the Spring ecosystem, designed to simplify the development of AI-powered applications. It provides a set of tools and libraries that enable developers to build, train, and deploy machine learning models, as well as integrate with popular AI services. spring ai in action pdf github link

: Managing and versioning prompts as structured resources. Model Agnostic API: Write your code once and

As generative AI reshapes the software development landscape, Java developers finally have a first-class toolkit to bring these capabilities into their Spring Boot applications. At the center of this shift is the Spring AI project, and the definitive learning resource for mastering it is Spring AI in Action by Craig Walls. This article serves as your ultimate guide to the book's content, its official GitHub repository, and how to properly access its accompanying materials. : Managing and versioning prompts as structured resources

Augmentation: Including the retrieved information in the prompt sent to the AI model.

Do not let ChatClient or specific model logic leak directly into your web controller tier. Wrap them inside a distinct service layer (e.g., AiAnalysisService ) to ensure high testability.

| Repository | Description | Key Technologies | | :--------- | :---------- | :--------------- | | | A tutorial putting AI to work using Spring Boot. Covers basic integration patterns and includes a companion Medium article. Great starting point for absolute beginners. | Spring Boot, OpenAI | | Ravikharatmal/spring-ai-tutorial | Comprehensive tutorial setup with detailed configuration instructions for multiple models including OpenAI and Anthropic. Includes MCP (Model Context Protocol) examples. | OpenAI, Anthropic, MCP, PostgreSQL | | liuyueyi/spring-ai-demo | A rich demo project covering the entire Spring AI learning path: prompts, structured output, tool calling, MCP, advisors, ChatClient, and multiple model integration. Includes extensive Chinese documentation. | Spring Boot 3.5+, Spring AI 1.x & 2.x, LangGraph4J | | asaikali/spring-ai-zero-to-hero | Workshop content designed for conference sessions. Requires Java 21+, Docker, and Ollama. Includes a check-deps.sh script to verify prerequisites. Best for hands-on workshop learning. | Ollama, Docker, Testcontainers | | ThomasVitale/llm-apps-java-spring-ai | Production-quality examples from a respected Spring contributor. Covers chatbots, question answering (RAG), semantic search, structured data extraction, text classification, and multimodal models (image, audio). | Ollama, PGVector, Mistral AI, OpenAI |