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Scaling TensorFlow model evaluation with Vespa

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...

Introducing TensorFlow support

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...

Optimizing realtime evaluation of neural net models on Vespa

In this blog post we describe how we recently made neural network evaluation over 20 times faster on Vespa’s tensor framework.

Blog recommendation with neural network models

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...

Blog recommendation in Vespa

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...

Vespa Meetup in Sunnyvale

WHAT: Vespa meetup with various presentations from the Vespa team.

Blog search application in Vespa

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...

The basics of Vespa applications

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...

Open Sourcing Vespa, Yahoo’s Big Data Processing and Serving Engine

By Jon Bratseth, Distinguished Architect, Vespa