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 ...
“It’s almost impressive how incorrect he’s able to be about an article he’s looking directly at," one expert said. Reading time 3 minutes Podcaster and former UFC commentator Joe Rogan isn’t exactly ...
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 ...
A graph database, also called a NoSQL database, is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data. Relationships are ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results