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

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

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

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike.

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 rise of graph databases is closely related to AI's demand for data processing. AI technology requires vast amounts of structured and unstructured data, which must not only be input into ...

Recently, Tianjin Yingjie Technology Development Co., Ltd. announced the application for a patent titled "An Optimization Method for Multi-Robot Collaborative Task Scheduling Based on Graph Neural ...

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

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 ...

Pareto analysis states that 80% of a project’s results are due to 20% of the inputs, and 80% of problems can be traced to 20% of the causes.