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Vespa use case: shopping

Imagine you are tasked with creating a shopping website. How would you proceed? What tools and technologies would you choose? You need a technology that allows you to create data-driven...

Vespa Product Updates, March 2019: Tensor updates, Query tracing and coverage

In last month’s Vespa update, we mentioned Boolean Field Type, Environment Variables, and Advanced Search Core Tuning. Largely developed by Yahoo engineers, Vespa is an open source big data processing...

Vespa Product Updates, February 2019: Boolean Field Type, Environment Variables, and Advanced Search Core Tuning

In last month’s Vespa update, we mentioned Parent/Child, Large File Config Download, and a Simplified Feeding Interface. Largely developed by Yahoo engineers, Vespa is an open source big data processing...

Serving article comments using reinforcement learning of a neural net

Don’t look at the comments. When you allow users to make comments on your content pages you face the problem that not all of them are worth showing — a difficult problem...

Join us at the Big Data Technology Warsaw Summit on February 27th for Scalable Machine-Learned Model Serving

Online evaluation of machine-learned models (model serving) is difficult to scale to large datasets. Vespa.ai is an open source big data serving solution used to solve this problem and in...

Vespa 7 is released!

This week we rolled the major version of Vespa over from 6 to 7.

Vespa Product Updates, January 2019: Parent/Child, Large File Config Download, and a Simplified Feeding Interface

In last month’s Vespa update, we mentioned ONNX integration, precise transaction log pruning, grouping on maps, and improvements to streaming search performance. Largely developed by Yahoo engineers, Vespa is an...

Efficient personal search at large scale

Vespa includes a relatively unknown mode which provides personal search at massive scale for a fraction of the cost of alternatives: streaming search. In this article we explain streaming search...

Sharing Vespa at the SF Big Analytics Meetup

By Jon Bratseth, Distinguished Architect, Oath