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

Both graph databases and knowledge graphs “have similarities but serve different purposes,” said Shalvi Singh, senior product manager at Amazon AI. “Graph databases serve as the underlying ...

Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and graph-based retrieval, they’re flying blind.

TL;DR Key Takeaways : GraphRAG uses knowledge graphs instead of traditional vector databases, allowing deeper insights and relationships within datasets through structured data representation.

I've issued three monster articles (and four podcasts) about SAP Sapphire - but it wasn't enough. To kick off my spring event ...

Imagine AI agents within a company that can independently access and search across all enterprise information to perform complex tasks.

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

Dell Technologies CTO and Chief AI Officer John Roese says that agentic AI will be deployed throughout major enterprises by the end of the year and that it represents a massive opportunity for ...

For these applications, graph is a natural and powerful tool for modeling and capturing dependency relationships between objects. Unlike conventional data, where each instance is represented in a ...

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