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@Service public class AiQueryService private final ChatModel chatModel; private final VectorStore vectorStore; public AiQueryService(ChatModel chatModel, VectorStore vectorStore) this.chatModel = chatModel; this.vectorStore = vectorStore; public String askWithContext(String userQuery) List similarDocs = vectorStore.similaritySearch(userQuery); String context = similarDocs.stream() .map(Document::getContent) .collect(Collectors.joining("\n")); String systemPrompt = "Answer the question using only this context:\n" + context; Prompt prompt = new Prompt(List.of( new SystemMessage(systemPrompt), new UserMessage(userQuery) )); return chatModel.call(prompt).getResult().getOutput().getContent(); Use code with caution. Best Practices for Spring AI Production Deployment

Inject the ChatModel bean directly into your controller to handle user requests. spring ai in action pdf github link

Get the PDF/ePub immediately after purchase. private final VectorStore vectorStore

If you want to tailor this implementation to your specific tech stack, tell me: public AiQueryService(ChatModel chatModel