AI-powered agent systems are becoming essential for automation, personalization, and real-time decision-making. But how do we ensure that these agents can process information continuously, maintain context, and provide intelligent responses at scale?

This talk explores how Apache Kafka and Apache Flink can be used to build dynamic real-time agent systems. We'll start with the basics of agent-based systems - how they work, how they communicate, and how they retrieve and generate relevant knowledge using Retrieval-Augmented Generation. Then, we'll look into real-time streaming architectures, showing how Kafka handles message passing between agents and Flink processes events to track context and enable intelligent responses.

By the end of this session, you'll have a clear roadmap for designing AI-driven agent systems that are context-aware, efficient and work with a continuous stream of data.

Whether you're working on chatbots, monitoring systems, or intelligent automation, this talk will provide practical insights into bridging streaming data with generative AI to power the next generation of autonomous agents. Perfect for beginners and experts alike, this session offers valuable insights for all skill levels.