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

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

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

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

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

Billions of entities vanished from Google’s Knowledge Graph in June 2025. Here’s how it signals a bold new direction in ...

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 startup XOPS is using artificial intelligence and ‘knowledge graphs’ to build a new platform for automating corporate IT ...

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.

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.

Similarly, knowledge graph has been around for awhile, but it seems to finally be finding its killer use case: data fabric architecture.

New techniques make graph databases a powerful tool for grounding large language models in private data.