Modern AI applications increasingly require multiple specialized agents working together to solve complex problems. This hands-on workshop will guide you through building a complete multi-agent system using the BeeAI framework, integrating popular components like Model Context Protocol (MCP) Servers and Retrieval-Augmented Generation (RAG) tools.

Participants will learn to design agent workflows, implement inter-agent communication patterns, and leverage RAG capabilities for enhanced knowledge retrieval. By the end of this session, you'll have practical experience architecting multi-agent systems and understand how to combine different AI components into a solution.