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

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

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.

The graph database is popular with social networks, but there's no reason to limit it to tracking people and their friendships.

The introduction of the graph database will also see the graph model added to Aerospike’s real-time data platform which already supports key value and document models.

A graph database uses graph structures for semantic queries with nodes, edges and properties to represent and store data.

NebulaGraph, an open source database created by Hangzhou, China-based company Vesoft, announced it has raised an undisclosed amount totaling tens of millions of dollars in a Series A funding round.

AWS, Google, Neo4j, Oracle. These were just some of the vendors represented in the W3C workshop on web standardization for graph data, and what transcribed is bound to boost adoption of the ...

Valkyrie makes history by launching the first-ever knowledge graph on the moon aboard Intuitive Machine’s IM-2 Mission from Kennedy Space Center.