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Why most computation will become online

The most advanced companies of the world are busy moving their computation over data online. But why?

Jon Bratseth Jon Bratseth
02 Mar 2020

Vespa Product Updates, February 2020

Advances in Vespa features and performance in February include LightGBM support, improved tensor performance, benchmarking guide and query builder library

Kristian Aune Kristian Aune
28 Feb 2020

Vespa Product Updates, January 2020

The January 2020 update includes information about new tensor functions, updated sizing guides and various performance improvements.

Kristian Aune Kristian Aune
31 Jan 2020

The big data maturity levels

By now it’s well known that making effective use of data is a competitive advantage. But how advanced is your organization at making use of data?

Jon Bratseth Jon Bratseth
21 Jan 2020

Vespa Product Updates, December 2019: Improved ONNX support, New rank feature attributeMatch().maxWeight, Free lists for attribute multivalue mapping, faster updates for out-of-sync documents, Zookeeper 3.5.6

In the November Vespa product update, we mentioned Nearest Neighbor and Tensor Ranking, Optimized JSON Tensor Feed Format, Matched Elements in Complex Multi-value Fields, Large Weighted Set Update Performance and...

Kristian Aune Kristian Aune
19 Dec 2019
Learning to Rank with Vespa – Getting started with Text Search

Learning to Rank with Vespa – Getting started with Text Search

Vespa.ai have just published two tutorials to help people to get started with text search applications by building scalable solutions with Vespa. The tutorials were based on the full document...

Thiago Martins Thiago Martins
05 Dec 2019
E-commerce search and recommendation with Vespa.ai

E-commerce search and recommendation with Vespa.ai

Holiday shopping season is upon us and it’s time for a blog post on E-commerce search and recommendation using Vespa.ai. Vespa.ai is used as the search and recommendation backend at...

Jo Kristian Bergum Jo Kristian Bergum
29 Nov 2019

Vespa Product Updates, October/November 2019: Nearest Neighbor and Tensor Ranking, Optimized JSON Tensor Feed Format, Matched Elements in Complex Multi-value Fields, Large Weighted Set Update Performance, and Datadog Monitoring Support

In the September Vespa product update, we mentioned Tensor Float Support, Reduced Memory Use for Text Attributes, Prometheus Monitoring Support, and Query Dispatch Integrated in Container.

Kristian Aune Kristian Aune
05 Nov 2019

Vespa Product Updates, September 2019: Tensor Float Support, Reduced Memory Use for Text Attributes, Prometheus Monitoring Support, and Query Dispatch Integrated in Container

In the August Vespa product update, we mentioned BM25 Rank Feature, Searchable Parent References, Tensor Summary Features, and Metrics Export. Largely developed by Yahoo engineers, Vespa is an open source...

Kristian Aune Kristian Aune
01 Oct 2019

Vespa Product Updates, August 2019: BM25 Rank Feature, Searchable Parent References, Tensor Summary Features, and Metrics Export

In the recent Vespa product update, we mentioned Large Machine Learning Models, Multithreaded Disk Index Fusion, Ideal State Optimizations, and Feeding Improvements. Largely developed by Yahoo engineers, Vespa is an...

Kristian Aune Kristian Aune
21 Aug 2019

Vespa Product Updates, May 2019: Deploy Large Machine Learning Models, Multithreaded Disk Index Fusion, Ideal State Optimizations, and Feeding Improvements

In last month’s Vespa update, we mentioned Tensor updates, Query tracing and coverage. Largely developed by Yahoo engineers, Vespa is an open source big data processing and serving engine. It’s...

Kristian Aune Kristian Aune
01 Jun 2019

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...

03 May 2019