Imagine your database of choice blown out of the water by a startup emerging from stealth. TigerGraph may have done just that for graph databases.

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

By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable.

A graph is a network of things, called nodes, with their relationships expressed as links, called edges. The nodes in a graph database can be tagged with properties, which are additional information ...

Graph databases facilitate discovery and analysis closely connected facts. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics.

You can easily create a graph in Google Sheets to get a visual representation of your data. Here's how to use Google Sheets to create a graph.

Banks, miners and police forces in Australia are among those using graph databases to provide the context and data relationships needed for more accurate and trustworthy AI, moving projects from ...

At Data Summit Connect 2020, Thomas Cook, director of sales, Cambridge Semantics, explained the basics of knowledge graphs and how they leverage natural-language processing to automate the ...

The Neo4j graph database is proving to be popular in the medical community for connecting different entities.