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; import reactor.core.publisher.Flux; @RestController public class AIController private final ChatModel chatModel; public AIController(ChatModel chatModel) this.chatModel = chatModel; @GetMapping("/ai/generate") public String generate(@RequestParam(defaultValue = "Tell me a joke about programming") String message) return chatModel.call(message); @GetMapping("/ai/stream") public Flux stream(@RequestParam(defaultValue = "Write a short poem about Java") String message) return chatModel.stream(message); Use code with caution. 5. Implementing Retrieval-Augmented Generation (RAG)
Built-in support for PGVector, Chroma, Pinecone, and Weaviate for Retrieval Augmented Generation (RAG) [2].
This simple addition gives your chatbot a memory for the duration of the conversation session, allowing for a much more natural and coherent dialogue with the user. The book contains an entire chapter dedicated to implementing and managing conversational memory.
ChatOptions options = ChatOptionsBuilder.builder() .withFunction("orderStatusFunction") .build(); Prompt prompt = new Prompt("Where is my order 12345?", options); ChatResponse response = chatModel.call(prompt); Use code with caution.
GitHub actively removes repositories hosting pirated books upon DMCA notice. spring ai in action pdf github
org.springframework.boot spring-boot-starter-web org.springframework.ai spring-ai-openai-starter org.springframework.ai spring-ai-bom 1.0.0-M6 pom import Use code with caution. Step 2: Configure Application Properties
I understand you're looking for resources related to the book — specifically a PDF copy or its GitHub repository.
Follow legal channels, use official companion code on GitHub, and prefer purchasing or borrowing to support authors.
This repo strips away the book’s narrative and provides pure REST endpoints for: import org
You don’t need to wait for the PDF. Let’s build a microservice that uses the core concept from Spring AI in Action : .
The author maintains two main repositories for the book's example code:
Understanding the foundational abstractions of Spring AI is crucial for building robust applications.
Many developers share Spring AI example code on GitHub. Search for: This simple addition gives your chatbot a memory
If you are looking for ready-to-run repositories, complete code architectures, or community-compiled reference manuals, searching GitHub with target keywords will yield the best results:
The search for reveals a specific developer need: Actionable, executable knowledge. You don't want marketing hype. You want to see the @Service annotation next to an ChatClient , and you want a PDF you can read on the train.
: Seamlessly connects with the broader Spring ecosystem (Spring Boot, Spring Data, Spring Security).