How would Microsoft GraphRAG work alongside a graph database?

In this webinar, Jacob Coles, a data scientist at Redfield, explores Hierarchical GraphRAG, inspired by Microsoft GraphRAG, and how Leiden community detection in Memgraph 3.0 enables more structured and scalable AI-powered retrieval.

What’s in the Webinar?

• Naive RAG vs. GraphRAG an why traditional retrieval methods struggle with context and scalability.
• How Leiden community detection works for structuring knowledge into hierarchical communities.
• Live demo using features from Memgraph 3.0 latest release.
• Examples of real-world applications of GraphRAG.

What You’ll Learn

• How to overcome naïve RAG limitations like context fragmentation and inefficient retrieval.
• How to implement GraphRAG with Memgraph 3.0 and build structured knowledge graphs.
• Why community detection improves search and AI retrieval, enabling multi-level summarization.
• How to integrate LlamaIndex + Memgraph for AI-powered, structured knowledge retrieval.