As part of Data Summit Connect 2020, Joe Hilger, COO and co-founder of Enterprise Knowledge, LLC, and Sara Nash, a technical analyst with the consultancy, presented a presented a pre-conference ...

Knowledge graphs are reshaping how we organize and make sense of information. By connecting data points and revealing relationships between them, these powerful tools are transforming industries, from ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

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.

The problem: The app must store a collection of people and who they know. Sometimes it must find out everyone who knows someone who knows Bob. Sometimes it must look further for everyone who is three ...

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 makes ...

Graph is a data model that has long lingered on the fringe of mainstream adoption. But that is changing, as graph lends itself well to representing many real world problems, and the technology is ...

The addition of vectors provides context to the graph database for enhanced search and supports generative AI and large language models.