In this episode, guest presenter Alison Cossette, Developer Advocate at Neo4j, will explore GraphRAG, a powerful technique that combines Knowledge Graphs and Retrieval-Augmented Generation (RAG) to enhance AI's ability to provide accurate, context-rich responses.

Alison will cover what defines a high-quality dataset for RAG, how to identify potential blind spots in your data, and how to leverage these insights to drive business outcomes.

By the end of the episode, you’ll have a clearer understanding of how to apply GraphRAG to unlock valuable insights and optimize decision-making in your organization.