Join Memgraph's Community Call to explore GraphChat, an AI feature in Memgraph Lab that lets you query graph data using natural language. Powered by an LLM, GraphChat converts questions in Plain English into Cypher queries and runs them in the background.

The session will kick off with an introduction to GraphRAG by Katarina Supe, Head of Developer Experience, providing the foundational concepts necessary to understand GraphChat’s core technology. Toni Lastre, Head of Platform, will then take us under the hood of GraphChat to explain its two-phase AI process and the exciting new features that enhance Cypher accuracy, handle errors, and push the boundaries of AI-driven graph query handling. The session will conclude with a live demo showcasing GraphChat in action, giving you a hands-on look at how it simplifies graph data queries.

Memgraph is an open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.

From Questions to Queries: How to Talk to Your Graph Database With LLMs?