A next-generation graph-relational database (DB) system has been developed in South Korea. If this system is applied in ...

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

From Relational to Graph Databases: The 'Association' Revolution in the Era of Big Data In this era of information explosion, ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration ...

With the rapid development of artificial intelligence (AI) technology, the graph database market is experiencing unprecedented growth, with an annual growth rate approaching 25%. Graph databases are ...

Neo4j also trumpeted the value of graphs as vector databases used in generative artificial intelligence. AI training requires ...

Neo4j®, the leading graph database and analytics platform, today unveiled Infinigraph: a new distributed graph architecture now available in Neo4j’s self-manage ...

Neo4j has launched a graph database built to unify workloads at 100TB+ scale for generative AI. GraphRAG is emerging as the ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

The chatbot leverages Stardog’s pioneering knowledge graph platform, which is a flexible and reusable data layer that can ...

Infinigraph is a new distributed graph architecture that allows Neo4j’s database to run operational and analytical workloads ...

Microsoft Graph provides a unified programmability model that you can use to take advantage of the tremendous amount of data in Office 365.