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 ...

According to a GenAI Data Readiness survey, 44% of organizations surveyed said they are deploying GenAI for critical use cases, but only 4% are confident about their data preparation. Without a ...

Organizations can take a systematic approach to generating a knowledge graph by first ingesting a standard ontology (like insurance risk) and using a large language model (LLM) like GPT-3 to ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

Aerospike Inc., maker of a highly scalable NoSQL database, today is entering the graph database market with an offering that it claims can outperform and outscale offerings from market leaders ...

By training an LLM on curated, high-quality, structured data—which is what a knowledge graph is, after all—you can significantly reduce the risk of errors and "hallucinations.” ...

The key to accelerating digital-twin development is through the use of knowledge graphs — machine-readable representations of the physical and digital worlds, such as people, companies, digital assets ...

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.

Neo4j is one such database. It’s open source, uses an SQL-like query language, follows the Property Graph Data Model and supports indexes, UNIQUE constraints and full ACID rules.