This session explores how to build production‑ready AI agent architectures using Quarkus and LangChain4j for orchestrating LLM‑powered reasoning, and Oracle AI Vector Database for reasoning, scalable retrieval, and tool calling.

From defining agent capabilities to integrating embeddings, vector search, and RAG pipelines, you’ll learn how to construct agents that can understand context, make decisions, and interact with external systems.

You’ll see how these capabilities empower your Java code to reason, interact with data, and take actions based on real-time context.