GraphRAG is more than just a buzzword. Let’s clear up the mystery about what it is, how it works, and when to use it.

First, what is GraphRAG? It refers to a robust family of RAG approaches that use knowledge graphs to structure retrieval data to improve LLM response accuracy, explainability, and completeness.

GraphRAG proves crucial when you’re connecting data across mixed formats or sources to properly inform AI.

This is pivotal when working with complex data to build GenAI apps that boost customer engagement, optimize supply chains, improve enterprise search, navigate complex policies and regulations, and more.

Join us on 25 February for a 30-minute overview to learn:

• About GraphRAG use cases
• How to get complex data AI ready by structuring and connecting with knowledge graphs
• How to use graph retrieval patterns to build accurate, explainable GenAI apps and agentic workflows

Register to clear up any confusion you might have about GraphRAG. Even if you can’t attend, you’ll receive access to an on-demand recording of the event.