Create AI-Infused Java Apps with LangChain4j

Generative AI has taken the world by storm over the last year, and it seems like every executive leader out there is telling us “regular” Java application developers to “add AI” to our applications. Does that mean we need to drop everything we’ve built and become data scientists instead now?

We promise it’s not as complicated as you might think! With Quarkus and LangChain4j, integrating AI models into your Java apps is easier than you might think. These tools make it simple to leverage the power of AI and impress your stakeholders.

In this session, you’ll explore a variety of AI capabilities such as Quarkus DevUI to try out AI models even before writing any code, LangChain4j features for prompting, chaining, and preserving state, function-calling for enriching your AI model’s knowledge with your documents using retrieval augmented generation (RAG), and Podman AI Lab for discovering ways to run (and train) models locally.