Start with the repository for absolute basics. Read the accompanying Medium article to understand core concepts like prompts, chat models, and structured output.
If you want to tailor this implementation to your specific project needs, tell me:
[Private Data / PDFs] -> [Document Reader] -> [Vector Store] -> [LLM Context Window]
Seamlessly integrates with Spring Security to protect your AI endpoints, prompt histories, and data vectorization pipelines. spring ai in action pdf github link
: A placeholder/supplementary repository for the book's code examples hosted by the author, Craig Walls. habuma/spring-ai-in-action-samples - GitHub
spring-projects/spring-ai: An Application Framework ... - GitHub
| Repository | Description | Key Technologies | | :--------- | :---------- | :--------------- | | | Practical implementation of function calling to retrieve real-time data from external APIs (weather and stock prices). Shows how to feed live data into OpenAI prompts for intelligent responses. | OpenAI, API Ninjas | | BootcampToProd/spring-ai-orchestrator-workers-workflow | Implements the Orchestrator-Workers workflow pattern for dynamic task decomposition and parallel processing. Includes a travel itinerary planner as a real-world example. | Google Gemini, Spring Boot | Start with the repository for absolute basics
The Spring AI in Action GitHub repository provides a collection of code examples and tutorials for building AI-powered applications using Spring AI. The repository includes:
: Access to the full PDF version typically requires purchase from the publisher.
: Never hardcode API keys. Use Spring Cloud Vault or environment variables injected via GitHub Actions secrets. : A placeholder/supplementary repository for the book's code
Implementing a Retrieval-Augmented Generation (RAG) Pipeline
Which you intend to use (OpenAI, Ollama, Azure, Bedrock, etc.)?
I can generate a precise, production-ready configuration file and data parsing service for your project. Share public link
Out-of-the-box support for Retrieval-Augmented Generation to ground your AI models in private enterprise data.
| 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. |
