A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

Future proof and agent-ready – Built on an open, ISO-backed standard, GQL lays the foundation not just for current insights ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

GraphRAG is a retrieval method that uses knowledge graphs to store and manage structured data, serving as an alternative to VectorRAG (Vector Retrieval Augmented Generation).

The chief data reporter for the Financial Times discusses how he considers the use of text, color, and annotation to aid ...

Intermountain Health is deploying Layer Health’s artificial intelligence for clinical data abstraction to improve its quality ...

Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very ...

IEEE Spatial Web chair George Percivall explains how the recently-approved IEEE P2874 Spatial Web Standard complements ...

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike. Skip to main content Wednesday 18 June 2025 ...