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

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.

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

Learn how large language models like ChatGPT make knowledge graph creation accessible, revealing hidden connections in your data.

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

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

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.

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 ...

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 ...

Math Notes is a built-in feature that lets you crunch numbers on your iPhone, iPad, and Mac. Solve basic arithmetic and equations, create variables, and generate graphs easily with Math Notes. You ...

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 ...