Explore how Neo4j’s InfiniGraph unifies analytical and transactional data, removing ETL bottlenecks to power next-gen GenAI ...

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

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

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

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 ...

Neo4j is renowned for its graph database technology, which is far more efficient than traditional relational databases when it comes to handling relationships between data. For example, when ...

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

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

Soo Kim announced on the 8th of September that the team has developed a new DB system named 'Chimera' that fully integrates ...

Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in ...

Graph database fave also punts for transactional workloads Neo4j has introduced "property sharding" which, according to one ...