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内容简介:
Use Spring AI to add generative AI features like virtual assistants, text summaries, and suggestions to your Java applications.
No matter what kind of software you’re building, there’s a huge demand for AI features! Until recently, though, Java developers have had few good tools for adding AI features to existing and new applications. Spring AI, an exciting new extension for Spring and Spring Boot, changes the equation. Spring AI provides generative AI capabilities natively within the framework, so you can stick with Java end-to-end. Spring AI in Action shows you how!
In Spring AI in Action you will:
Learn Spring AI from the ground up!
Create text summaries, virtual assistants and more in Spring Boot applications
RAG and other techniques to improve LLM responses
Text from images and images from text
Spring AI makes it much, much easier to add generative AI features to Spring applications. With this powerful framework extension, you can write familiar Java code to build AI features like virtual assistants, text summaries, and smart search suggestions.
About the Technology
When it comes to AI applications, no Python, no problem! The Spring AI framework makes it possible to add LLM-based features to any Spring application using Java or other JVM languages like Kotlin. From setting up Retrieval Augmented Generation (RAG) to creating AI agents, Spring AI is fast, powerful, and instantly familiar.
About the Book
In Spring AI in Action, bestselling author Craig Walls shows you how to build AI applications natively using Spring AI and Spring Boot. You’ll start with a simple “Hello AI World” example and quickly advance to more sophisticated techniques, including RAG, AI agents, tool use, speech, and AI observability. You’ll see Craig’s practical example-driven approach—with a relentless emphasis on getting stuff done.
What’s Inside
Learn Spring AI from the ground up!
Create text summaries, virtual assistants and more
RAG, agents, and multimodal AI
Chat and conversational memory
AI tool use
作者简介:
1 Getting started with Spring AI 1
2 Evaluating generated responses 20
3 Submitting prompts for generation 28
4- Talking with your documents 59
5 Enabling conversational memory 93
6 Activating tool-driven generation 113
7 Applying Model Context Protocol 133
8 Generating with voice and pictures 165
9 Observing AI operations 192
10 Safeguarding generative AI 221
11 Applying generative AI patterns 243
12 Employing agents 257
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