Retrieval-Augmented Generation (RAG) is a cornerstone of modern AI solutions, powering search, observability, and analytics. But what if agents could dynamically ingest new data sources and consult with each other seamlessly? Enter Model Context Protocol (MCP) and Multi-Agent Protocols; two groundbreaking technologies poised to redefine how agentic systems function. MCP enables AI models to flexibly integrate external, contextual data, while Multi-Agent protocols opens new possibilities for inter-agent cooperation and smarter, collective decision-making.

In this session, you'll discover how MCP and Multi-Agent protocols fundamentally reshape RAG systems, paving the way toward truly adaptive, conversational agents that continuously evolve and collaborate. Through a series of engaging, live demos, you'll see firsthand how these technologies can dramatically improve search relevance, data observability, and overall system intelligence. Join us to understand and prepare for this transformative shift because the next wave of RAG and Agentic AI isn't just coming, it's already here. Are you ready?