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

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

The graph below shows the total number of publications each year in Keyword Search in Graphs and Relational Databases. References [1] An Efficient Keywords Search in Temporal Social Networks .

If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, without proper ways to aggregate and transform this data into ...

Graph technology is allowing pharma to model data in a way that offers invaluable insights for marketing, R&D and compliance teams alike.. Google, Facebook and LinkedIn are among those utilising ...

Angelo Libertucci, global head of industry for telecom at Google Cloud, discusses the hyperscaler’s recently unveiled ...

Experts joined DBTA’s latest webinar, New Database Technologies and Strategies for the AI Era, to offer their perspectives on AI-database relationship, examining best practices and new solutions.

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

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