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Mastering Spring Boot 3 & Spring AI: Building GenAI-Powered Retrieval-Augmented Applications with Open AI API and Angular Dashboards
Combine the Traditional Frameworks Spring Boot , Angular, Spring Data JPA, MySQL with Gen AI (Spring AI Functions) to Develop an Exciting Retrieval Augmented Generation (RAG) ChatBot to learn Real Enterprise Use Cases, (Not Hello Worlds)
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About
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.
Author
About the Author
Binit Datta
Binit Datta is a strategic, customer-centric technology leader with over three decades of experience designing, building, and operating large-scale enterprise systems across more than ten business verticals and numerous Fortune 50 organizations. His career has been defined by a rare ability to bridge deep technical execution with business outcomes—using architecture not as an academic exercise, but as a practical tool to deliver reliability, scalability, and measurable customer value.
With expertise spanning enterprise architecture, identity and access management, cloud platforms, security, and modern application development, Binit has consistently worked at the intersection of systems that must perform under real-world pressure. He is particularly known for his focus on prevention over cure—helping organizations avoid costly production failures through deep system understanding, fast root-cause analysis, and disciplined architectural thinking.
A passionate mentor and lifelong learner, Binit believes the most valuable technologists are those who can see beyond silos—understanding applications, platforms, and identity infrastructure as a single, interconnected system. In an era increasingly shaped by generative AI, his work advocates for the enduring importance of human judgment, architectural fluency, and customer-focused problem solving.
This book reflects that philosophy: written for practitioners who want to understand not just how systems work, but why they behave the way they do—and how that understanding translates into lower MTTR, stronger customer trust, and sustained product innovation.
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