A knowledge graph is typically built on top of the existing databases to link all data together at web-scale combining both structured information (i.e. the list of startups attending our TNW ...

To stay visible in AI search, your content must be machine-readable. Schema markup and knowledge graphs help you define what ...

Cassie Shum, VP of Field Engineering at RelationalAI, joins host Keith Shaw on DEMO to showcase how enterprises can unlock ...

To keep an SLM relevant and accurate, you still need to feed it fresh, contextual data. That’s where graph technology comes ...

The Knowledge Graph is, of course, an organic search element and is closely tied to related elements such as featured snippets and rich results. It is now a common SEO practice to attempt to gain ...

Knowledge graph neophytes do not always realize this, but whether it's implicit or explicit, there's always a schema. Which brings us to the point. Knowledge graphs and graph databases ...

The second step in generating a knowledge graph involves building a text prompt for LLM to generate a schema and database for the ontology. The text prompt is a natural language description of the ...

Google’s July 2023 Knowledge Graph update added a layer to the September helpful content update. Google talks about “improved classification,” which is exactly what the Killer Whale update ...

Knowledge Graph Algorithm Update Summer 2019 (a.k.a. Budapest) In July/August 2019, two things changed with Google's Knowledge Graph API that may be a turning point both for Google and for us as ...