Philip Rathle, CTO of Neo4j, joins the podcast to discuss the rising popularity of graph-enhanced retrieval augmented generation (GraphRAG). He shares real-world examples of companies using Graph RAG in production for applications like enterprise search, supply chain risk analysis, and criminal investigations. He also discusses the potential impact of the new GQL graph query language standard.
Listen to the podcast: https://thedataexchange.media/supercharging-ai-with-graphs/
Keywords: GQL GraphRAG podcast Thought Leadership