A graph database is a type of data model structured to help users better understand relationships between different data points and content. There are multiple graph databases in the market today ...

Organizations can take a systematic approach to generating a knowledge graph by first ingesting a standard ontology (like insurance risk) and using a large language model (LLM) like GPT-3 to ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

Aerospike Inc., maker of a highly scalable NoSQL database, today is entering the graph database market with an offering that it claims can outperform and outscale offerings from market leaders ...

The new database, dubbed Aerospike Graph, adds a property graph data model to the existing capabilities of its NoSQL database and Apache TinkerPop graph compute engine, the company said.

Banks, miners and police forces in Australia are among those using graph databases to provide the context and data relationships needed for more accurate and trustworthy AI, moving projects from exper ...

The key to accelerating digital-twin development is through the use of knowledge graphs — machine-readable representations of the physical and digital worlds, such as people, companies, digital assets ...

Ontotext helps enterprises connect the dots of their knowledge and gain trustworthy insights across diverse data sources. For organizations looking to develop AI and ML initiatives, the company’s ...