Quarkus meets AI : Build your own LLM-powered application

In the dynamic landscape of artificial intelligence, the seamless integration of Large Language Models (LLMs) into applications is a key focus for application developers. While many initiatives have emerged to facilitate the integration of LLMs, the world of Java has seen limited options.

Enter Langchain4j, a powerful library designed to seamlessly integrate Java applications with LLMs. The excitement amplifies Langchain4j into Quarkus, a framework designed for building Cloud-Native applications in Java. Quarkus is tuned for Kubernetes environments boasting faster startup times and reduced memory usage compared to traditional Java applications. When Quarkus meets Langchain4j, the process of building a Java LLM-powered application becomes an enjoyable experience.

In this talk, we’ll delve into building AI applications powered by LLMs, using Quarkus and Langchain4j. We’ll leverage existing features from the ecosystem to create effective strategies for data ingestion. We’ll demonstrate how to seamlessly bring in information from a broader set of resources, with the power of Apache Camel.