Angielski
Java skills are solid, but AI feels like distant rocket science. What if you could add ChatGPT style magic without abandoning Spring Boot? Stop stitching fragile APIs; start coding AI features in familiar Java. Summaries, assistants, smart search, all within the framework you deploy daily. Spring AI bridges the gap between generative power and enterprise reliability. This book shows the path from hello world to production ready AI services. Spring AI foundations explained: Write AI code with the same patterns as regular Spring. Virtual assistant walkthrough: Deliver conversational support to users without external chatbot platforms. Retrieval Augmented Generation pattern: Serve accurate, context-aware answers from your own data. Image and text conversions: Enrich applications with multimodal capabilities users immediately notice. Production-ready tips and tests: Ship reliable, maintainable AI services your ops team trusts. Spring AI in Action by Craig Walls offers the first authoritative guide to Spring’s new AI extension from a renowned Spring engineer. Through clear explanations and fully annotated code, the book moves from a simple “Hello AI” to advanced RAG, multimodal prompts, and conversation memory. Each chapter delivers runnable examples you can drop into your projects. By the final page you will integrate large-language-model power directly in Java, shorten development cycles, and wow users with intelligent features. Ideal for Spring developers who want AI without a Python detour and architects standardizing on the Java stack.
