Own your search

Smart search is core to your value: don't outsource it.

We help your org innovate in search and relevance. Whether it's Solr or Elasticsearch - let us empower your team!

What We Believe » | Our Services » | Our Expertise »

We wrote the book

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

We wrote Relevant Search to help teams build 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 »

Democratizing machine learning for your search team  ↓


Pioneers in machine learning

We built Elasticsearch Learning to Rank, which powers search at Yelp, Wikipedia, Snag, and others.

Since deploying learning to rank, we’ve seen a net 32% increase in conversion metrics across our historically lowest performing use-cases. — Jason Kowalewski, Sr Director of Engineering at Snag
Learning to rank can’t stay hidden away in obscure academic journals or multi-million dollar products. We’re making this stuff accessible to all search teams: opening up the black box for everyone to use”. — Doug Turnbull - OpenSource Connections CTO

Read the Press Release »
Our Learning to Rank Services »

Tools that demystify search  ↓


We have the tools

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 »


Just want to understand why results are showing up in your search?

Use splainer for free »

Search Relevance Community  ↓


We support the community

We run Haystack, the Search Relevance conference. We sponsor MICES, the E-Commerce Search conference.

We host a Slack Channel where practitioners support each other and share solutions.

The Next Haystack »
Join Relevance Slack »

Our Blog » Upcoming Events »

We empower some of the world's best search teams at:

  • USPTO
  • Cisco
  • Career Builder
  • O'Reilly
  • Wikimedia Foundation
  • Snag

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.

The blog and other happenings

What is a 'Relevant' Search Result? Doug turnbull on December 11, 2019

A relevant search result helps users take further steps, make good decisions, and supports their ability to formulate better, more informed, queries.

Tesseract 3 and Tika Eric pugh on December 10, 2019

In which we deal with learning that sometimes you don't get to use the latest version of Tesseract...

Demystifying nDCG and ERR Max irwin on December 9, 2019

In this post, we unwrap the mystery behind two popular search relevance metrics, and discuss their pros and cons. Our subjects for this exercise are Normalized Discounted Cumulative Gain, and Expected Reciprocal Rank, commonly acronymified as nDCG and ERR. We'll start with some refresher background, visualize what these metrics actually look like, and paint a picture of how each can be either helpful or misleading, depending on the situation. Afterwards, you'll have a better understanding of their behavior and which ones to use when (and why).

Talk directly with Eric Pugh, our founder & CEO
(434) 466-1467 | [email protected]