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Twelve months ago, Zaid Kahn said the words "knowledge graph" to us in a Boston office.
We nodded. We had no idea what he meant.
So we brought him back, with Bogdan Arsintescu, who sat on the original Google Knowledge Graph team and later ran graph systems at LinkedIn and Microsoft.
The ask was simple. Explain it like we're five.
A knowledge graph is a set of facts. Subject, predicate, object. "Door 105 has a 45 minute fire rating."
An ontology is the rulebook. Everyone agreeing what every symbol on a drawing sheet means before anyone reads it.
A chatbot context window is a drawing table. If the addendum is in the filing cabinet, it doesn't exist.
Bogdan's line of the episode: "Knowledge Graph is just the bullet points."
We still don't fully know what ontology means. But we're closer.
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Chapters
00:00 Teaser
01:07 What Is a Knowledge Graph? (Explained Like You're Five)
04:10 Knowledge Graph vs Ontology: The Difference Explained
07:56 Sponsor
10:57 Why Construction Needs Knowledge Graphs (Spec vs Drawing vs Addendum)
14:58 Why ChatGPT Can't Do This: Context Windows Explained
19:11 Knowledge Graphs vs LLMs: Why You Need a Vertical AI
26:43 Preconstruction Risk: Why Bids Go Wrong
29:53 The Future of AI in Construction
32:10 How Neuron Factory Works With Suffolk and GCs
