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Researchers develop a next-generation graph-relational database system
For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process ...
Microsoft Fabric expands as industry analysts reveal critical criteria enterprises need for evaluating AI-ready data ...
Wouldn’t it be funny if Larry Ellison, who has become the elder statesman of the datacenter, had the last laugh on the cloud ...
RelationalAI has long believed that a shared, open language for business and domain semantics is essential for trustworthy, intelligent applications,” said Molham Aref, CEO of RelationalAI. “Today, ...
Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol ...
If the hyperscalers are masters of anything, it is driving scale up and driving costs down so that a new type of information ...
Large language models (LLMs) have revolutionized the AI landscape, demonstrating remarkable capabilities across a wide range ...
MongoDB Inc. is expanding beyond its database roots and taking aim at one of the thorniest challenges facing many enterprise ...
Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, ...
UpToDate—the popular clinical research and information database used by thousands of hospitals around the globe—has ...
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