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

Neo4j also trumpeted the value of graphs as vector databases used in generative artificial intelligence. AI training requires ...

GDS 2.0 and AuraDS from Neo4j bring graph data science one step closer to mainstream adoption.

Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.

Microsoft Graph provides one unified API to search all content in SharePoint, OneDrive, Outlook, and other Microsoft 365 services. That changes how we build SharePoint applications.

Graph databases are finding new use cases in sales, ecommerce, healthcare, financial services, fraud detection and much more.

Neo4j Aura Graph Analytics comes with more than 65 ready-to-use graph algorithms and is optimized for high-performance AI applications, with support for parallel workflows ensuring any app can ...

Learn when using entity-based SEO strategies can give you an edge – and how to implement them without wasting effort.

Knowledge graphs make complicated data easier to understand and use, by establishing a semantic layer of business definitions and terms on top of the often cryptic and highly technical names assigned ...

Forward thinking organizations are deploying semantic Knowledge Graphs as a powerful option to meet growing functional data management challenges. Knowledge Graphs are not just in academia, every day ...