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Building a Custom AI Chatbot with Spring Boot, React, and LangChain4j

Abstract

Have you ever wanted to build an intelligent chatbot that understands your specific business context?

This presentation takes a practical engineering approach to AI. You'll learn how to interact with large language models (LLMs) from code and how you can extend their capabilities by giving them access to your own content and selected Java methods through retrieval-augmented generation (RAG).

This talk will feature hands-on coding, where you'll learn to implement a custom AI chatbot with Spring Boot, React, LangChain4j, and Hilla. Walk away with a solid understanding of how you can integrate AI into your own application.

Bio

Passionate about both learning and teaching, Marcus Hellberg helps developers learn the skills they need for modern full-stack web development. His talks often explore the integration of Java with frontend technologies and delve into how developers can make the most of AI tools within their applications. Marcus' teaching approach is hands-on, emphasizing practical coding examples.

Beyond technical topics, Marcus bring years of experience in Developer Relations to discuss how a strong DevRel strategy can create value for both developers and businesses.