The repository spring-projects/spring-ai-samples is the baseline source of truth maintained by the core engineering team.
While the official reference documentation is primarily HTML, Manning offers the version of the book as part of their LiveBook platform or for download upon purchase of the print or digital edition. Public GitHub repositories typically host only the sample code, not the copyrighted book PDF itself. habuma/spring-ai-in-action-samples - GitHub
The author has provided several repositories on GitHub to support readers and developers: habuma/spring-ai-in-action-examples spring ai in action pdf github
spring.ai.openai.api-key=$OPENAI_API_KEY spring.ai.openai.chat.options.model=gpt-4o spring.ai.openai.chat.options.temperature=0.7 Use code with caution. 3. Implementing the Core Abstractions The ChatClient API
: This repo contains the code as it appears in the book, built against Spring AI 1.0 . Spring AI makes integrating a chatbot as simple
Spring AI makes integrating a chatbot as simple as adding a starter dependency ( spring-ai-openai-spring-boot-starter ) and configuring an API key. You can easily switch to a local model via Ollama by changing only the configuration, not the code. 2. Retrieval Augmented Generation (RAG)
@Autowired private AI ai;
Since the specific user query includes "pdf", here is the most up-to-date information regarding its availability.
This exact pattern is mirrored in the GitHub repo for Spring AI in Action , Chapter 2. notably managed by Craig Walls
One of the most common real-world tasks is loading information from PDF files to build a custom RAG pipeline. Spring AI makes this surprisingly simple with its spring-ai-pdf-document-reader module. To use it, you add a dependency and then, as shown in the earlier code, you can load a PDF, split it into chunks, store those chunks in a vector store, and finally query them with an AI model. The spring-ai-cli-chatbot example on GitHub demonstrates this entire flow end-to-end, from reading the PDF to answering questions about it, making it the ideal template to adapt for your own documents.
The core of the book's value lies in its hands-on code examples. You can find these repositories on GitHub, notably managed by Craig Walls, which contain full Spring Boot projects.
