Central to Collate’s new capabilities is the launch of AI Studio , which enables enterprises to build, deploy, customize, and tune AI agents to their unique data environments. AI Studio provides a ...

The acquisition seems to have occurred in October 2025, as AppleInsider reports. Apple’s motivation for purchasing Kuzu remains a mystery, but graph databases like Kuzu’s could be used in Apple’s ...

Artificial Intelligence (AI) is woven into the fabric of India’s rapidly digitising economy. Banks deploy AI to flag fraudulent transactions in seconds, so do telcos use AI to deliver warnings on spam ...

The graph database architecture stores memory associations (connections between memories) in a dedicated, high-performance graph table instead of as regular Memory objects. Think of it like upgrading ...

Neo4j, a database company known for its graph-based data technology used in enterprise applications, has released Neo4j Fleet Manager, a control plane for managing graph databases across cloud, hybrid ...

Abstract: Regular path queries (RPQs) in graph databases are bottlenecked by the memory wall. Emerging processing-in-memory (PIM) technologies offer a promising solution to dispatch and execute path ...

What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...

💞 featureFeature request, pull request that fullfill a new feature.Feature request, pull request that fullfill a new feature. Yes. I'm currently working with a pre-structured knowledge graph ...

Microsoft Corp. today is expanding its Fabric data platform with the addition of native graph database and geospatial mapping capabilities, saying the enhancements enhance Fabric’s capacity to power ...

A new MCP Server for Fabric has also been added to enable developers to connect agents to Fabric’s ecosystem to accelerate tasks, such as creating a data pipeline or notebook. Microsoft is adding two ...

We’re in a hinge moment for AI. The experiments are over and the real work has begun. Centralizing data, once the finish line, is now the starting point. The definition of “AI readiness” is evolving ...