Graph databases store data as a network of interconnected facts. This type of data model is useful for researchers to easily ...

One way of doing this is through the use of graph database technology. This form of database structures and analyses information as entities and relationships and can help to untangle patterns and ...

🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or ...

A scalable, distributed, collaborative, document-graph database, for the realtime web ...

Financial planning can be daunting for anyone, but women often face unique challenges due to societal, economic, and personal ...

The year 2025 marks a pivotal moment in the data-driven evolution of artificial intelligence (AI) systems, as TigerGraph, a leader in enterprise AI infrastructure and graph database technology, ...

The interplay between graph analytics and large language models (LLMs) represents a promising frontier for advancing ...

Keyword search in graphs and relational databases is an essential area of research that addresses how users can efficiently retrieve relevant information from complex data structures. As data ...