In this blog post we’ll explain how to use Vespa to evaluate TensorFlow models over arbitrarily many data points while keeping total latency constant. We provide benchmark data from our...
In previous blog posts we have talked about Vespa’s tensor API which enables some advanced ranking capabilities. The primary use case is for machine learned ranking, where you train your...
Update 2021-05-20: This blog post refers to Vespa sample applications that do not exist anymore. Please refer to the News search and recommendation tutorial for an updated version of text...
Update 2021-05-20: This blog post refers to Vespa sample applications that do not exist anymore. Please refer to the News search and recommendation tutorial for an updated version of text...
Update 2021-05-20: This blog post refers to Vespa sample applications that do not exist anymore. Please refer to the News search and recommendation tutorial for an updated version of text...
Distributed computation over large data sets in real-time — what we call big data serving — is a complex task. We have worked hard to hide this complexity to make...
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