Spring Ai In Action Pdf Github (2026)

The landscape of enterprise Java development is shifting. For years, Spring Framework has been the undisputed king of dependency injection, web MVC, and data access. But 2023 and 2024 brought a tidal wave of Generative AI—Large Language Models (LLMs) like GPT-4, Gemini, and Llama. The question on every Spring developer’s lips became: How do I integrate AI into my existing Spring Boot applications without rewriting everything from scratch?

// The AI will automatically call this Java function when needed. Spring AI auto-instruments all AI calls. Add micrometer-tracing-bridge-otel to your pom.xml , and you get a Grafana dashboard showing token usage, latency, and cost per request. This is critical for "in production" vs. "in action." Part 7: Where to Find the Best "Spring AI in Action" Resources (Sept 2025) Given the rapid evolution, use this matrix to find exactly what you need: spring ai in action pdf github

| Your Goal | Best Resource (Search term) | Format | | :--- | :--- | :--- | | | spring-ai-reference.pdf | PDF (Generated from docs) | | Copy-paste RAG code | github.com/spring-projects/spring-ai/blob/main/models/spring-ai-openai/src/test | GitHub Source | | Troubleshooting prompts | github.com/rd-1-2025/spring-ai-workshop | GitHub (Workshop) | | Production deployment | spring-ai-kubernetes-example by dashaun | GitHub Repo | | Cheat sheet | spring-ai-cheatsheet.pdf (gist.github.com) | PDF (1 page) | The landscape of enterprise Java development is shifting

Then, generate the official PDF from the spring-ai-docs module. Keep it on your desktop. The question on every Spring developer’s lips became:

public String ask(String question) // 1. Find relevant PDF chunks List<Document> relevantDocs = vectorStore.similaritySearch(question); // 2. Create the system prompt with context var systemPrompt = """ You are a helpful assistant. Answer using only the provided context. Context: %s """.formatted(relevantDocs.toString()); // 3. The "In Action" call return chatClient.prompt() .system(systemPrompt) .user(question) .call() .content();

If you are searching for , you aren't just looking for documentation. You want a tactical, hands-on resource . You want code you can clone, run, and modify. You want examples of chat clients, RAG (Retrieval-Augmented Generation), and function calling.

Clone it. Run ./mvnw spring-boot:run . Open localhost:8080 . Ask a question.