New techniques make graph databases a powerful tool for grounding large language models in private data.

A research team led by Bing Qin introduces a novel method for Knowledge Graph Completion using higher-order neighbor subgraphs to address sparsity issues, demonstrating its effectiveness in a ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia ...

Graph data modeling requires a different paradigm than modeling with Relational or other NoSQL databases. InfoQ spoke with Jim Webber and Ian Robinson about data modeling with Graph databases.

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data. Unlike traditional databases organized in rows and columns, graph databases ...

Data, services, catalogs, schemas, registries, and graphs Although the differentiation between Apollo and solutions like graph databases, for example, is clear, there are also some points of ...

A dot plot or dot chart consists of data points plotted on a graph. The Federal Reserve uses dot plots to show its predicted interest rate outlook.