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

Ever since the introduction of the Google Knowledge Graph, a growing number of organizations have adopted this powerful technology to drive efficiency and effectiveness in their data management ...

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 was built to help with that mission. It contains information about entities and their relationships to one another — meaning that Google is increasingly able to recognize a ...

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 ...

I like to think of a knowledge graph as a cross between an encyclopedia and a database. Each article is called an “ Entity ” by developers, or a “Topic” in Google’s customer-facing articles.

Knowledge graphs to the rescue The drawbacks of LLMs can be significantly addressed by supporting them with knowledge graphs built atop modern graph database engines. Strong technical analysts like ...

Monitoring changes to a Knowledge Graph result can help you better understand how Google perceives you or your company. It can also validate certain optimizations you may be doing on your website ...

Knowledge graphs also allow you to create structures for the relationships in the graph. You can tell a graph that parents have children and parents can be children and children can be brothers or ...

The difference is that, in Diffbot's case, the knowledge graph is only partially curated by humans, and is automatically populated by crawling the web. ZDNet talked to Mike Tung, Diffbot's CEO and ...