Graph for RAG, Networking and More
How can we make AI models more reliable and accurate? Tune in to this episode of DM Radio as we explore Retrieval-Augmented Generation (RAG) and Graph RAG—two innovative approaches that keep large language models grounded, relevant, and free from hallucinations.
Host Eric Kavanaugh welcomes Philip Rathle, CTO of Neo4j, and Jon Brewton, CEO of data², to discuss how knowledge graphs enhance AI’s ability to deliver precise, explainable, and context-aware insights.
Watch the podcast interview: https://dmradio.biz/archives/7323#page-content
Keywords: data2 • Generative AI • GraphRAG • knowledge graphs • Thought Leadership