, focuses on integrating generative AI capabilities directly into Spring Boot applications. A standout feature covered in the book is Retrieval-Augmented Generation (RAG)
Artificial intelligence (AI) and machine learning (ML) are transforming the way we build software applications. With the increasing demand for intelligent systems, developers need frameworks and tools that can help them integrate AI and ML into their applications seamlessly. This is where Spring AI comes in – a powerful framework that enables developers to build AI-powered applications with ease. spring ai in action pdf github
For decades, Spring has been the backbone of enterprise Java. However, connecting Java applications to AI models has historically been a messy affair involving hand-rolled HTTP clients, parsing raw JSON streams, and managing API keys in an ad-hoc manner. , focuses on integrating generative AI capabilities directly
Based on the book's curriculum and the corresponding GitHub samples, "Spring AI in Action" covers: Fundamentals : Introduction to Spring Boot integration. RAG Systems : Building Retrieval-Augmented Generation (RAG) using vector databases Chat & Agents : Implementing ChatClient This is where Spring AI comes in –
Create a simple endpoint that uses the ChatClient .
The author, Craig Walls, maintains two primary repositories for the book's examples:
Explain how to set up the structure for a Spring AI project. Detail the steps to convert Markdown docs into a PDF guide.