Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

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 ...

The graph database is created using a graph database management system (DBMS) like Neo4j. The Cypher query generated in step 3 is ingested into the DBMS, which creates the nodes and edges in the ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

TigerGraph Inc. is upgrading its graph database with a hybrid search capability designed to power artificial intelligence applications.The Redwood City, California-based startup debuted the featu ...

One example combines RAG with a graph database. The combination can make the results more accurate and relevant, particularly when relationships and semantic content are important.

Aerospike Multi-model Database. Aerospike makes it easy to launch in the cloud and choose the right data model for the job-whether document, graph, key-value, or vector search-all within a single, ...