Gartner predicts that retrieval-augmented generation will play a pivotal role in mitigating issues with developing and ...

New study gives conservationists a simpler, general approach for predicting an ecosystem’s tipping point and what comes next ...

which work particularly well with structured data, graph databases are designed to model and store data as interconnected nodes and relationships. Graph databases focus on the relationships within ...

At the heart of the issue is retrieval-augmented generation (RAG), a natural language processing technique combining data retrieval with a GenAI model ... Databases (DBs) and Knowledge Graphs.

A graph database is a type of data model structured to help users better understand relationships between different data points and content. There are multiple graph databases in the market today ...

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.

Data modeling tools ... by querying the underlying database and turning the results into something readable. They may contain any number of charts, such as bar graphs, pie charts, scatter plots ...

load it in your favorite RDF graph database and run these SPARQL queries. A data catalog powered by a knowledge graph enables cataloging all types of resources because of the flexibility of the graph ...

As graph database ... Graph data models are natively designed to focus on the relationships within and between data, representing data as nodes connected by edges. As such, the graph model is ...