All Stories

Improving Product Search with Learning to Rank - part one
Photo by Pawel Czerwinski on Unsplash

Improving Product Search with Learning to Rank - part one

This is the first blog post on applying learning to rank to enhance E-commerce search.
Jo Kristian Bergum
Jo Kristian Bergum
03 Nov 2022
Vespa Newsletter, October 2022
Photo by Scott Graham on Unsplash

Vespa Newsletter, October 2022

Advances in Vespa features and performance include a BertBase Embedder / model hub, improved query performance, paged attributes, ARM64 support and term bolding in string arrays.

Kristian Aune
Kristian Aune
31 Oct 2022
Building Billion-Scale Vector Search - part two
Photo by julien Tromeur on Unsplash

Building Billion-Scale Vector Search - part two

Searching billion-scale datasets without breaking the bank.
Jo Kristian Bergum
Jo Kristian Bergum
26 Oct 2022
Vespa on ARM64
Foto de Niek Doup en Unsplash

Vespa on ARM64

Vespa is now released as a multiplatform container image, supporting both x86_64 and ARM64.
Kristian Aune
Kristian Aune
11 Oct 2022
Building Billion-Scale Vector Search - part one
Photo by Arnaud Mariat on Unsplash

Building Billion-Scale Vector Search - part one

How fast is fast? Many consider the blink of an eye, around 100-250ms, to be plenty fast.
Jo Kristian Bergum
Jo Kristian Bergum
06 Oct 2022
Pre-trained models on Vespa Cloud

Pre-trained models on Vespa Cloud

Vespa Cloud now provides pre-trained ML models for your applications
Jon Bratseth
Jon Bratseth
04 Oct 2022
Text embedding made simple

Text embedding made simple

Vespa now lets you create a production quality semantic search application from scratch in minutes
Jon Bratseth
Jon Bratseth
20 Sep 2022
Vespa Newsletter, September 2022
Photo by Ilya Pavlov on Unsplash

Vespa Newsletter, September 2022

Advances in Vespa features and performance include rank-phase statistics, detailed rank performance analysis, new query- and trace-applications and a new training video!

Kristian Aune
Kristian Aune
19 Sep 2022
Will new vector databases dislodge traditional search engines?
Photo by Joshua Sortino on Unsplash

Will new vector databases dislodge traditional search engines?

Doug Turnbull asks an interesting question on Linkedin; Will new vector databases dislodge traditional search engines?
Jo Kristian Bergum
Jo Kristian Bergum
19 Sep 2022
IR evaluation metrics with uncertainty estimates

IR evaluation metrics with uncertainty estimates

Compare different metrics and their uncertainty in the passage ranking dataset.
Thiago Martins
Thiago Martins
09 Sep 2022
Summer internship at Vespa
Photo by Arnold Francisca on Unsplash

Summer internship at Vespa

After the summer internship of 2022 the intern has summarized what he has done and his experience at Vespa
Erlend Solbakken Nikolaisen
12 Aug 2022
Managed Vector Search using Vespa Cloud
Photo by israel palacio on Unsplash

Managed Vector Search using Vespa Cloud

This blog post describes how your organization can unlock the full potential of multimodal AI-powered vector representations using Vespa -- the industry-leading open-source big data serving engine.

Jo Kristian Bergum
Jo Kristian Bergum
01 Jul 2022