We build powerful

Search solutions

Our Elasticsearch and Solr experts provide professional consulting and tailored application development.

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We wrote the book on

Search relevance

What good is search if you can never find anything? We're pioneers in smarter search that "gets" users.

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We are passionate

Industry leaders

We've spoken at conferences from San Diego, to NYC, to Dublin. Our blog is read by industry experts.

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We're the relevance experts

Good search understands a user's intent, not just what they type.

We wrote Relevant Search, the definitive guide to building smarter Elasticsearch and Solr applications.

One of the best and most engaging technical books I've ever read. — Trey Grainger, Lucidworks
Will help you solve real-world search relevance problems for Lucene-based search engines — Dimitrios Kouizes-Loukas, Bloomberg

Read the book »
Get help from the experts »


Products and services for smarter search

We built Quepid, a search testing platform that takes the guesswork out of search relevancy.

Do NOT attempt a search project without it. — John Bickerstaff

Try it Now »


Want to just understand why results are showing up in your search?

Use splainer for free »

Selected Clients

  • USPTO
  • Cisco
  • RKG
  • O'Reilly

Partners

  • Elastic
  • Datastax

Our publications

Relevant Search »
Learn the secrets of building intuitive, targeted search.

Elasticsearch course »
Dive into Elasticsearch and AngularJS in this video course.

Solr Enterprise Server »
We cowrote the first book on Solr. Now in its third edition.

From the blog

Expanding data from a frequency table into case form in R and STATA Samia ansari on September 17, 2016

Sometimes you need to convert from case tables to frequency tables. Here is how I did it with R.

Why I think search engines are the future of recommendation systems Doug turnbull on September 13, 2016

There's a trend away from recommendation systems being the domain of wealthy organizations. Increasingly, I see a shift towards search engines like Solr or Elasticsearch for implementing recommendation systems

High-Quality Recommendation Systems with Elasticsearch Doug turnbull on September 9, 2016

Let's explore how to deliver great recommendations with Elasticsearch. In this article, we dive into an aggregrations based method for Elasticsearch recommendations. We attempt to understand the mechanics and assumptions of the underlying JLH scoring method.

*The* conference focused on Solr, we've made the pilgrimage since 2010

LuceneRevolution
October 11 - 14 | Sheraton, Boston, MA

Talk directly with Eric Pugh, our founder & CEO
(434) 466-1467 | eric@o19s.com