Searching through similar objects and finding the top matching items is becoming massively popular across multiple use cases. However, running complex similarity search across large multi-dimensional dataset is quite challenging, especially in cases where there is a need to run it on the fly making transaction-based decisions.
This everything2vec trend require technological step function in the ability of conducting an ultra-fast, scalable vector search.
Hyperspace core technology breaks those limits wide open, allow running flexible searches for the top matching vectors at speed which has never been thought possible.
The solution is provided as a service in the cloud, fully managed using standard APIs, allowing scalability and performance.