Mastering Spring Boot 3 & Spring AI: Building GenAI-Powered Retrieval-Augmented Applications with Open AI API and Angular Dashboards
Mastering Spring Boot 3 & Spring AI: Building GenAI-Powered Retrieval-Augmented Applications with Open AI API and Angular Dashboards
About the Book
The rapid advancements in Generative AI (Gen AI) have transformed the way applications are designed, built, and deployed. As AI-driven systems become an integral part of enterprise solutions, it is imperative for developers to understand how to effectively integrate Gen AI capabilities into modern software architectures. This book serves as a practical guide to building a Gen AI-driven suite of applications, demonstrating how to harness the power of Spring AI, Angular 16, and Spring Boot 3 to create intelligent and interactive applications.
This book provides a comprehensive hands-on approach to developing a full-fledged Gen AI-powered application suite, consisting of:
- An Angular 16 UI – A dynamic frontend that enables users to interact with the system through intuitive interfaces, including text-based queries and graphical visualizations.
- A Gen AI REST API backend using Spring AI – A powerful AI-driven API that processes natural language inputs and generates intelligent responses, solving typical chatbot use cases and providing insightful answers in the form of charts and graphs.
- A Spring Boot 3 REST API – A microservice performing CRUD operations on a MySQL 8.x backend database, ensuring seamless data management and persistence.
What You Will Learn
This book is structured to provide a real-world, production-grade implementation of a Gen AI-powered software ecosystem, covering the following key aspects:
- Building an AI-augmented chatbot using Spring AI to process and respond to user queries intelligently.
- Designing a RESTful Gen AI API that enables AI-driven insights while integrating with enterprise applications.
- Developing an Angular 16 frontend that presents both textual and graphical (chart-based) responses to user queries.
- Implementing CRUD-based microservices in Spring Boot 3 that interact with a MySQL 8.x database to support application data needs.
- Leveraging AI for graphical visualizations, transforming textual inputs into meaningful charts and dashboards.
- Best practices for integrating Gen AI into modern software architectures while ensuring scalability, performance, and maintainability.
Why This Book?
As Gen AI continues to evolve, developers must adapt their architectural approach to build AI-driven applications that go beyond static interactions. This book is written with practicality in mind, ensuring that each concept is backed by real-world scenarios and hands-on coding examples. Whether you are a software architect, backend engineer, or full-stack developer, this book will equip you with the knowledge needed to seamlessly integrate Generative AI into your applications.
Let's embark on a journey to build intelligent, AI-driven applications that merge cutting-edge AI capabilities with robust software engineering principles.
About the Author
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