Poor search discourages users. We're writing Relevant Search to teach building intuitive, relevant search. Read More!

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Recent Articles

  • Data Modeling For Search Relevance -- Signals and Semantics Doug turnbull | 15 May 2015
    Perhaps the biggest relevance mistake you can make is to take content, straight from it’s source, and plop it directly into Elasticsearch or Solr unmodified. If you don’t think about how your data is likely to be searched
  • Debugging Solr 5 in Intellij Doug turnbull | 30 Apr 2015
    I recently had to debug Solr 5 to help answer some client questions. With Solr 5, there's been several fundamental changes to the Lucene/Solr codebase. My previous methods of debugging Solr didn't work anymore.
  • Excerpts From Relevant Search Doug turnbull | 23 Apr 2015
    As many of you know, we're writing Relevant Search to address the crisis of low quality, untuned, and irrelevant search applications. If you truly want to do more to help your users, check out these free excerpts from chapter one to learn how to deliver your users what they want from your search bar

Upcoming Events

  • Spark Summit 2015 Jun 15 | San Francisco, CA
    Chris will be speaking at Spark Summit 2015 on "Lessons Learned with Spark at the US Patent & Trademark Office"
  • London Solr Meetup Jun 4 | London, UK
    Doug will be talking about Test Driven Relevancy, Quepid, and his new book Relevant Search!

Quepid takes the guesswork out of search relevancy. Start benefiting from test-driven relevancy today.

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