Spring Ai In Action Pdf Github Link

Since "Spring AI" is a relatively new and rapidly evolving project, there isn't a classic, published O'Reilly or Manning book simply titled "Spring AI in Action" just yet.

  1. Structured Outputs: The PDF shows you how to ask the AI for a List<Customer> object. The GitHub repo shows you the BeanOutputParser configuration.
  2. Retrieval Augmented Generation (RAG): The PDF explains why you need RAG (to stop AI hallucinations). The GitHub repo provides a DataLoader class that reads your PDF files and loads them into a Vector Store.
  3. Prompt Role Management: System, User, and Assistant roles. The GitHub repo includes reusable PromptTemplate utilities.
  4. Streaming Responses: For chat interfaces. The repo has a WebFlux controller returning Flux<String>.
  5. Evaluation: How to test your AI. The repo includes AssertJ statements checking if the AI output contains expected keywords.

The repository contains all the sample code, chapter by chapter, to follow along with the book's exercises, including the "Board Game Buddy" project used as a running example. Official Sample Code: habuma/spring-ai-in-action-samples Legacy/Original Examples: habuma/spring-ai-in-action-examples spring ai in action pdf github link

1. The "Spring AI in Action" Code Repository

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