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

Graph database vendor Neo4j announced today new capabilities for vector search within its graph database. Neo4j’s namesake database technology enables organizations to create a knowledge graph ...

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

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.

Jack Wallen shows you how easy it is to create a MongoDB database and collection using the Compass GUI.

You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

The goal of this type of database is to make it easier to discover and explore the relationships in a property graph with index-free adjacency using nodes, edges, and properties.

Graph databases offer a more efficient way to model relationships and networks than relational (SQL) databases or other kinds of NoSQL databases (document, wide column, and so on). Lately many ...