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Enterprise AI development requires more than simply sending a REST request to a public API endpoint. Real-world applications demand structured data validation, portable abstractions to avoid vendor lock-in, secure database integrations, and robust data pipelining.
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)
For those interested in learning more, the team's experience report and code snippets are available on GitHub: https://github.com/spring-ai/spring-ai-in-action . A PDF version of this story can be downloaded from https://spring-ai.github.io/spring-ai-in-action.pdf .
Formats raw LLM responses directly into Java POJOs or Records. PromptTemplate
If your goal is to learn Spring AI effectively:
To put Spring AI into action locally, follow this baseline setup found in most repository templates: Step 1: Add the Dependencies
It follows Craig Walls' signature style—using a continuous, fun example throughout the book to demonstrate techniques like Retrieval Augmented Generation (RAG), AI agents, and multimodal AI. Advanced Topics Covered:
When developers append "PDF" to a search query, they generally want one of two things:
Quick starter checklist
Write your code once and swap underlying AI models (e.g., OpenAI, Anthropic, Ollama, Azure OpenAI) with simple configuration changes.
Mastering Java AI: A Guide to Spring AI in Action (with GitHub Resources)
Enterprise AI development requires more than simply sending a REST request to a public API endpoint. Real-world applications demand structured data validation, portable abstractions to avoid vendor lock-in, secure database integrations, and robust data pipelining.
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)
For those interested in learning more, the team's experience report and code snippets are available on GitHub: https://github.com/spring-ai/spring-ai-in-action . A PDF version of this story can be downloaded from https://spring-ai.github.io/spring-ai-in-action.pdf . spring ai in action pdf github
Formats raw LLM responses directly into Java POJOs or Records. PromptTemplate
If your goal is to learn Spring AI effectively: Enterprise AI development requires more than simply sending
To put Spring AI into action locally, follow this baseline setup found in most repository templates: Step 1: Add the Dependencies
It follows Craig Walls' signature style—using a continuous, fun example throughout the book to demonstrate techniques like Retrieval Augmented Generation (RAG), AI agents, and multimodal AI. Advanced Topics Covered: Formats raw LLM responses directly into Java POJOs
When developers append "PDF" to a search query, they generally want one of two things:
Quick starter checklist
Write your code once and swap underlying AI models (e.g., OpenAI, Anthropic, Ollama, Azure OpenAI) with simple configuration changes.
Mastering Java AI: A Guide to Spring AI in Action (with GitHub Resources)