Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. At Data Summit 2022, Joseph Hilger, COO, Enterprise Knowledge LLC ...

Understand the building blocks of knowledge graphs – entities, relationships and attributes – and how they relate to information retrieval.

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

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

Infinigraph is a new distributed graph architecture that allows Neo4j’s database to run operational and analytical workloads ...

The graph database is popular with social networks, but there's no reason to limit it to tracking people and their friendships.

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it ...

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.

A graph database uses graph structures for semantic queries with nodes, edges and properties to represent and store data.