Role of Apache Beam in Agentic AI Era

As we move from LLM chatbots to Autonomous AI Agents in 2026, the primary bottleneck isn’t model intelligence, it’s contextual latency. For an agent to act reliably on behalf of a user, it needs a living memory of both historical records and real-time events.

This session explores how Apache Beam is becoming the definitive context layer for the Agentic AI stack. While traditional RAG often relies on vector databases, Beam enables a new paradigm of streaming RAG and stateful orchestration