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

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.

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

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.

Graph databases are making a splash in the database market, with specialist, multimodal and cloud database suppliers jostling for a slice of the pie.

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 ...

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.