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!
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
Pioneers in machine learning
We built Elasticsearch Learning to Rank, which powers search at Yelp, Wikipedia, Snag, and others.
Since deploying learning to rank, weāve 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 canāt stay hidden away in obscure academic journals or multi-million dollar products. Weāre making this stuff accessible to all search teams: opening up the black box for everyone to useā. — Doug Turnbull - OpenSource Connections CTO
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
Just want to understand why results are showing up in your search?
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.
We empower some of the world's best search teams at:
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]
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