Retrieval-augmented generation (RAG) with Spring Boot, React, and LangChain4j

Details
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.
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.
Speaker: Marcus Hellberg
Marcus has spent the past 20 years combining modern web technologies and Java. He's always curious to learn new things and loves helping developers learn new things. He works as the VP of Developer Relations at Vaadin.

[@jess_tech]

Love this presentation! Thanks for sharing!

[@softwarenickoriginal]

Thank you all for attending! Great panel from Marcus

[@KARTHIKPRABHUN]

Thank you Marcus for live demo session. It's looks fun and fascinating to try out.