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

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

The new distributed graph architecture promises unified transactional and analytical processing, enabling enterprises to ...

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

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

The new GQL standard follows the collaboration of Neo4j with fellow members of the ISO committee and recognizes the demand from customers for a standard graph language. This milestone speaks to the ...

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

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 ...

The long-dominant relational databases are gradually struggling to handle such associated data, while graph databases represented by Neo4j are becoming a key force in solving complex association ...