Deep Learning with Relations, NeurIPS 2021
Molham shares some history of relational databases, trends in modern cloud-native database systems, and the innovations pioneered at RelationalAI to bring deep learning with relations from idea to reality.
Random Number Generators in Rel
Rel now supports the random number generators Mersenne Twister, Threefry, and random device.
RelationalAI Year in Review, 2021
As we say goodbye to 2021, we wanted to create a roundup of our best blog posts and public interviews all in one place. It was a busy year for RelationalAI, so as we head into the new year let’s take a moment to look back at some of the exciting things that came out of 2021.
Regular Expression Matching and Capture Groups in Rel
Rel supports regular expression matching with capture groups.
Metadata Management Series: Weaving Asserted and Discovered Metadata into Your Data Fabric
Showing how knowledge graphs support the construction of scalable models that mix discoverable with explicitly asserted metadata to afford reasoning and policy enforcement. In this first article, we show how explicitly asserted metadata in a knowledge graph enables automated reasoning.
Semantic Optimizer
Semantic Optimization makes your complex data workloads more efficient, which in turn improves overall system performance and scalability.