Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

What exactly are knowledge graphs, and what's with all the hype about them? Learning to tell apart hype from reality, defining different types of graphs, and picking the right tools and database ...

The knowledge graph is the only currently implementable and sustainable way for businesses to move to the higher level of integration needed to make data truly useful for a business.

By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable.

From tracking sanctions to fact-checking elections, the world’s largest free knowledge graph is proving that open data beats ...

Think of knowledge-graph-powered data catalogs as the search engine for the data in the enterprise.

Knowledge graphs help in organizing unstructured data in a way that information can easily be extracted where explicit relations between multiple entities help in the process.

Understand the building blocks of knowledge graphs – entities, relationships and attributes – and how they relate to information retrieval.

Diffbot today announced the launch of Diffbot Knowledge Graph (DKG): all of the knowledge on the Web, collected and connected into a single, structure ...