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

The co-design center is at PNNL and is called ExaGraph. Its focus areas are on a number of key data analytic computational motifs such as graph traversals; graph matching; graph coloring; graph ...

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

As with much of enterprise IT, analyzing the data is a complex act that calls for pulling together multiple point products. “You have predictive analytics, you have prescriptive analytics, you have ...

In this exploration of GraphRAG, the IBM Technology team explain how it uses the structured nature of graph databases to provide context-rich insights and unparalleled depth in data retrieval.

Gartner predicts AI for decision-making will be used in many aspects of business, including for boards ... EU data privacy and data sovereignty regulations. Explore the concept of graph databases ...

While these data management technologies may not be as exciting as RAG, if CIOs want their shiny new toys to work properly, Vector DBs and Knowledge Graphs need to be a top priority. The challenge ...

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...