SurrealDB 3.0 launches with $23M in new funding and a pitch to replace multi-database RAG stacks with a single engine that handles vectors, graphs, and agent memory transactionally.

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

This guide explains what Microsoft Graph Explorer does and how you can use it to test Microsoft Graph API requests quickly. You will learn how to open it, run queries, adjust permissions, view code ...

What if your AI agent could not only answer your questions but also truly understand them, navigating complex queries with precision and speed? While the rise of vector search has transformed how AI ...

America’s overdose crisis isn’t the simple story we’ve been told for years. A new investigation reveals how two key graphs — one famous, one ignored — shift entirely the way we understand what ...

Abstract: There are two main approaches to graph databases: based on RDF model and based on labeled property graph model. RDF is well known and studied, but modern graph databases with labeled ...

For decades, enterprise data infrastructure focused on answering the question: “What happened in our business?” Business intelligence tools, data warehouses, and pipelines were built to surface ...

Stella Osoba is the Senior Editor of trading and investing at Investopedia. She co-founded and chaired Women in Technical Analysis. She has 15+ years of experience as a financial writer and technical ...