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

GDS 2.0 and AuraDS from Neo4j bring graph data science one step closer to mainstream adoption.

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

In the new knowledge-based digital world, encoding and making use of business and operational knowledge is the key to making progress and staying competitive. Here's a shortlist of technologies ...

Graph analytics provide another arrow in our quiver – another tool that we can use against these vast amounts of social media and sensor-based data to uncover new insights about the ...

Getting Your Data Graph-Ready After deciding on the technology and the key operational and logistical questions you want to answer with graph, your next step is to build a graph data model.

Graph data science is an emerging field with a lot of promise, but it’s being hamstrung by the need for practitioners to have lots of data engineering and ETL skills. Now Neo4j is hoping to drive that ...