By using Spring AI, developers can avoid being locked into specific AI vendors. You can write your logic once and switch between providers like OpenAI , Anthropic , Microsoft , Google , or local models via Ollama just by changing configuration properties. Spring AI in Action: The Guide and Code
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? spring ai in action pdf github
@Bean public Function<WeatherRequest, WeatherResponse> currentWeather() return (request) -> weatherService.getTemp(request.city); Spring AI in Action — PDF & GitHub:
@Service public class ChatWithPdfService private final ChatClient chatClient; private final VectorStore vectorStore; // Constructor injection omitted for brevity For years, Spring Framework has been the undisputed
, intended to host cleaned example code once the book is finalized. Spring AI RAG Example