Combining Neo4j with Claude, MCP, and network monitoring has given the truck giant real-time visibility into how its systems, ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...

This may come as a shock if you've first encountered knowledge graphs in Gartner's hype cycles and trends, or in the extensive coverage they are getting lately. But here it is: Knowledge graph ...

There are many ways to define a knowledge graph. At its most basic, a knowledge graph is a large network that stores data on entities and on the relationships between these entities. These entities — ...