Spring Ai In Action Pdf Github Link

Spring AI in Action is designed to bridge the gap between Java enterprise development and modern AI techniques. According to Rod Johnson, founder of the Spring Framework, this book is essential for Java developers looking to harness Gen AI, covering everything from chatbots to safety guardrails. Key Learning Areas

Modern LLM applications rarely rely on a single API call. To add real value, your application often needs to be able to perform actions—like looking up the weather, fetching a stock quote, or accessing an internal knowledge base. The "tools/function calling" feature in Spring AI is what makes this possible. It's a pattern where the AI model can ask your application to run a specific function, giving it the ability to interact with the outside world.

import org.springframework.ai.chat.model.ChatModel; import org.springframework.web.bind.annotation.GetMapping; import org.springframework.web.bind.annotation.RequestParam; import org.springframework.web.bind.annotation.RestController; @RestController public class AIController private final ChatModel chatModel; public AIController(ChatModel chatModel) this.chatModel = chatModel; @GetMapping("/api/generate") public String generate(@RequestParam(value = "message") String message) return chatModel.call(message); Use code with caution. 2. Achieving Structured Output spring ai in action pdf github link

https://github.com/spring-projects/spring-ai

If you are trying to solve a specific architectural challenge like or Advanced RAG cascades ? Share public link Spring AI in Action is designed to bridge

spring.ai.openai.api-key=$OPENAI_API_KEY spring.ai.openai.chat.options.model=gpt-4o spring.ai.openai.chat.options.temperature=0.7 Use code with caution. Step 3: Write the Chat Controller

Instead of downloading unverified or outdated third-party PDFs, the most accurate, executable "in-action" guides live directly on GitHub. URL: https://github.com To add real value, your application often needs

Swap your application properties to point toward a local Ollama instance running open-source models like Llama 3 or Mistral, keeping your enterprise data fully secure within local corporate boundaries.

import org.springframework.ai.chat.client.ChatClient; import org.springframework.core.ParameterizedTypeReference; import org.springframework.web.bind.annotation.GetMapping; import org.springframework.web.bind.annotation.RestController; import java.util.List; @RestController public class MovieController { private final ChatClient chatClient; public MovieController(ChatClient.Builder chatClientBuilder) this.chatClient = chatClientBuilder.build(); public record DirectorMovies(String director, List movies) {} @GetMapping("/api/movies") public DirectorMovies getMovies() { return chatClient.prompt() .user("Generate a list of 5 famous movies directed by Christopher Nolan.") .call() .entity(new ParameterizedTypeReference () {}); } } Use code with caution. Advanced Architecture: RAG (Retrieval-Augmented Generation)