Spring - Ai In Action Pdf Github

@Service public class ChatWithPdfService private final ChatClient chatClient; private final VectorStore vectorStore; // Constructor injection omitted for brevity

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

record Actor(String name, Integer age) {} Actor actor = chatClient.prompt() .user("Generate an actor from the 1990s") .call() .entity(Actor.class); // No JSON parsing boilerplate! From spring-tips repo: 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(); Context: %s """.formatted(relevantDocs.toString())