Learn More Real-time database vendor Aerospike is expanding its multi-model capabilities with the launch of the Aerospike Graph database. Aerospike got its start back in 2009, providing a NoSQL ...

and using a large language model (LLM) like GPT-3 to create a script to generate and populate a graph database. The second step is to use an LLM as an intermediate layer to take natural language ...

Graph databases excel for apps that explore many-to-many relationships, such as recommendation systems. Let’s look at an example Jeff Carpenter is a technical evangelist at DataStax. There has ...

A graph database built natively to store data as graph ... your next step is to build a graph data model. This isn’t as daunting as it seems. Your best bet is to build on a query language ...

A new semantic-based graph data model has emerged within the enterprise. This data model has all of the advantages of the relational data model, but goes even further in providing for more ...

RDF is a graph data model that has been around since 1997 ... How do they compare with Neo4j, the most popular graph database out there? Here's a crash test of sorts. Neo4j CEO Emil Eifrem ...

Automotive giant Daimler is using Neo4j's graph database technology in its HR department ... ZDNet: When did you start looking at using the graph data model in HR and what attracted you to ...

The new database, dubbed Aerospike Graph, adds a property graph data model to the existing capabilities of its NoSQL database and Apache TinkerPop graph compute engine, the company said.

This release includes a major change to the graph data model with the introduction of a new schema construct called "labels." The new construct makes it possible for developers essentially to tell the ...

Exam questions span graph database basics, the specifics of the property graphmodel, Cypher syntax, including semantics for data import, creation and querying, application development with Neo4j, ...