Are you a Java developer eager to explore AI but unsure where to begin? In this session, we’ll guide you through building and deploying AI applications in Java, leveraging familiar tools and running them effortlessly on Kubernetes. We’ll start by showcasing how Quarkus and LangChain4J simplify the development of AI-driven applications, making advanced use cases more accessible than ever.

Next, we'll address the challenge of running AI models for inference at scale using the Ollama operator, a lightweight yet robust solution for managing model serving on Kubernetes. In addition, we’ll dive into why vector databases are critical for many AI workloads and how these can serve as a high-performance storage and retrieval system for your data.

Join us for a live demo where we’ll walk through building and running a real-world AI use case on Kubernetes, demonstrating the tools and best practices you need to succeed. Whether you’re just starting with AI or looking to optimise your current workflows, this talk will equip you with practical insights to accelerate your AI journey in Java.