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 ...

One reason for this is because it's working with bad data. Disjointed data that's full of gaps. AI will only ever be as good ...

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

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).

Siren, the all-in-one investigation company, is adopting Graph Query Language (GQL), the ISO-standard query language for graphs, made public in 2024—enabling Siren to become the first investigative ...

Thermal throttling destroys model training performance but only three laptop brands solved this critical engineering problem ...

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

The first interactive graphs are here to handle finance data, not sports. If you’re working in finance or just want to see how your stocks are performing, you can ask AI Mode for graphs using ...

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