The landscape of enterprise Java development is shifting. For over two decades, the Spring Framework has been the de facto standard for building robust, scalable applications. Now, with the explosive rise of Generative AI, developers are facing a new challenge:
| Resource Type | Link | Description | | :--- | :--- | :--- | | | spring-ai-examples | Runnable code for RAG, Prompts, and Memory. | | Official Docs (PDF) | Spring AI Reference | The authoritative source for syntax and API details. | | Community Book | Manning: Spring AI in Action | Note: Check Manning's website for upcoming MEAP (Early Access) books. |
If you are looking for free, high-quality documentation or starter guides, these are the best GitHub-linked resources:
The PDF reference details how to control temperature , topP , and maxTokens . The GitHub repo shows you how to set these per request or globally.
Prompt Management: Tools for creating, managing, and versioning prompts, which are crucial for consistent AI behavior.