What’s bigger news in 2025: The Gallagher brothers reuniting Oasis, or generative AI going enterprise scale? Tough call, but we’ll stick with AI for now. Just as Noel Gallagher’s grounded presence is complemented by his rebellious brother Liam, generative AI stands to benefit from Graph technology. Graphs bring context, semantics, and deeper understanding—all qualities urgently needed by the probabilistic nature of large language models. Join hosts Weiwei Feng, Robert Engels, and Ron Tolido as they dive into this compelling topic with the one and only Jim Webber, Chief Scientist at Neo4J, who confesses he is happy to step out of the “basement” for the occasion, seeing some proper podcast daylight. He shares insights on how Graphs can boost AI’s confidence. With Robert as a fellow Graph enthusiast, the conversation dives deep into how natural language could be more suitable to query graph databases. Curious about the Graph-tech connection with Sweden? Want to hear about Idiot Savant Chatbots? Tune in for all this and more—and as one famous R&B singer once said, "If you liked it, then you should’ve put a graph on it." Timestamps:00:22 – Ron and Robert dive into a fun chat about “Oasis.”07:25 – Jim shares his unique journey into the world of Graph databases.15:21 – Exploring how Graphs can enhance Large Language Models (LLMs).20:30 – A look at Neo4j’s future roadmap and ambitious goals.38:51 – Weiwei leads a myth busting session. Connect with our guest Jim Webber and our hosts Ron Tolido, Robert Engels, and Weiwei Feng on LinkedIn.

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