A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Graph databases have become essential in business ... This is achieved through its unique structure, where data points, called nodes, are interconnected by relationships, called edges, and each ...

Entities and Relations for representing individual pieces of data, and Types for adding structure to information.” Entities, Relations and Types are defined by developers. The Graph will release ...

Neo4j is a native graph database that was engineered from the inside out to support large graph structures, as in queries that return hundreds of thousands of relations and more. Neo4j comes in ...

Learn how GraphRAG transforms unstructured text into structured data, revolutionizing AI retrieval with deeper insights and ...

a blockchain graph database. For example, small to medium enterprises may not need to regularly process millions of graph structures, called triples, every second. They may see greater benefit ...

This is because the graph database structure naturally clusters similar semantic entities, while providing deeper context in the relationships encoded in the vertices between those nodes.

Facebook continues to pull back the curtain on some of the technical details behind its search products, this time with a new look at the Social Graph. See also: Understanding Unicorn: A deep dive ...