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

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

Graph database company Neo4j wants to move beyond providing only its graph database, and is working on what it calls a 'graph platform' to help companies make the most of their data. ZDNet recently ...

New architecture fuses real-time transactions and analytics in one platform, with breakthrough performance and full fidelity at unprecedented scale Neo4j, the leading graph database and analytics ...

Neo4j Inc. today released what it calls the most significant evolution of its graph database engine since the company was founded in 2007. The 4.0 release features unlimited scalability, intelligent ...

Graph database pioneer Neo4j announced the latest update of its namesake product this week, and the company isn't holding back on the superlatives. Neo4j 4.0 is "the most significant product release ...

Neo4j, a popular name in the graph database field, says it is bringing its technology to the cloud as a fully managed service for small and medium enterprises, in an attempt to lure new customers with ...

Once you get past the chatbot hype, it’s clear that generative AI is a useful tool, providing a way of navigating applications and services using natural language. By tying our large language models ...

Graph databases have always been useful to help find connections across a vast data set, and it turns out that capability is quite handy in artificial intelligence and machine learning too. Today, ...

Graph platform Neo4j today announced that it raised $325 million at an over $2 billion valuation in a series F round led by Eurazeo, with additional investment from GV. The capital, which brings the ...

Neo4j is the leader in the burgeoning graph database market, with 17 years in development and thousands of open source users. But the database has a hard limit in terms of scalability, since it ...