From RAG to Enterprise AI Agents: Building Intelligent Java Apps

From RAG to Enterprise AI Agents: Building Intelligent Java Apps

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From RAG to Enterprise AI Agents: Building Intelligent Java Apps
Enterprise AI agents are transforming how Java applications interact with data and users. In this session, we will break down how to evolve from Retrieval-Augmented Generation to fully agentic AI systems, leveraging Java’s robust ecosystem. We will dissect the core elements of an AI application platform, covering the key components across application, data, and AI layers, and showcase how Java developers can integrate AI into existing applications or build new intelligent agents from the ground up. Through live demos, we will demonstrate how to modernize existing or legacy Java apps - whether on Spring, Quarkus, Tomcat, JBoss, WebLogic, or WebSphere Liberty - and bring them to the cloud with AI capabilities. You will gain practical insights into the right services for every Java app type and walk away equipped to build, deploy, and scale AI-powered Java applications in the enterprise. Presented by Asir Vedamuthu Selvasingh - Principal Architect, Java on Azure (Microsoft) and Mark Heckler - Principal Cloud Advocate, Java/JVM Languages (Microsoft) at JavaOne 2025 (CA, March 2025). Build enterprise AI agents with Java and Spring ➤ https://aka.ms/Java/Code/AI All JavaOne 2025 talks ➤ https://www.youtube.com/playlist?list=PLX8CzqL3ArzVV1xRJkRbcM2tOgVwytJAi Tags: #Java #JavaOne #AI SES1673