How to build Agentic GraphRAG?

GraphRAG is powerful, but what if it could think for itself? In this webinar, Memgraph’s Developer Experience Engineer, Ante, walks you through Agentic GraphRAG—a next-level approach where AI agents dynamically decide how to retrieve the right data, not just fetch it.

What’s in the Webinar?

• A deep dive into GraphRAG and why rigid pipelines limit AI-driven systems.
• How agents can dynamically select the best retrieval method (vector search, graph traversal, etc.).
• An inside look at Memgraph 3.0 and how it enables production-ready Agentic GraphRAG applications.
• A hands-on demo showcasing autonomous knowledge retrieval in action.

What You’ll Learn

• How Agentic GraphRAG works and why it’s better than static retrieval methods.
• How to build an AI-powered agent that makes real-time data retrieval decisions.
• How Memgraph 3.0’s new features—vector search, high availability, and dynamic algorithms—unlock new AI capabilities.
• How to replicate and extend the demo to build your own Agentic GraphRAG application.