In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

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 feature ...

Knowledge graphs are hyped. We can officially say this now, since Gartner included knowledge graphs in the 2018 hype cycle for emerging technologies. Though we did not have to wait for Gartner -- ...

The web is among humankind's greatest achievements and resources. Ever-expanding and nearly all-encompassing, we've all come to depend on it. There's just one problem: It takes work to get information ...

Franz Inc., an early innovator in artificial intelligence (AI) and leading supplier of graph database technology for Neuro-Symbolic AI Solutions, is introducing AllegroGraph v9.0, featuring ...

The problem: Generative AI Large Language Models (LLMs) can only answer questions or complete tasks based on what they been trained on - unless they’re given access to external knowledge, like your ...

Understanding the relationships in graph database theory allows us to work with the new 'shape' of data itself. Businesspeople like graphs. C-suite executives are fond of pie charts, Venn diagrams, ...

A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin, Cypher, ...

Every decade seems to have its database. During the 1990s, the relational database became the principal data environment, its ease of use and tabular arrangement making it a natural for the growing ...

Through natural language queries and graph-based RAG, TigerGraph CoPilot addresses the complex challenges of data analysis and the serious shortcomings of LLMs for business applications. Data has the ...