Overview
Agents with Knowledge Graphs, MCP and Context Engineering Powerful language models alone do not create powerful enterprise AI systems. The real challenge is providing AI with the right context—what the organization knows, how information is connected, what tools are available, and what actions the agent is authorized to perform. This technical session moves beyond traditional prompt engineering to explore the emerging discipline of context engineering and how techniques such as RAG, knowledge graphs, organizational memory, tool use and Model Context Protocol (MCP) can be combined to build more capable AI agents.
