Bonsai Search

@bonsaisearch

The original managed Elasticsearch, and the fastest way to search at any scale on AWS. Platform status at . Managed Solr at .

Joined February 2012

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  1. Pinned Tweet
    6 Jun 2016

    Follow us at for health and status reports

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  2. 13 Dec 2019
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  3. 4 Dec 2019
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  4. 22 Nov 2019

    New post: "How To Test Your Elasticsearch Integration with RSpec"

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  5. 1 Oct 2019

    Get a faster way to create and collaborate on queries using our latest feature, Search Clips:

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  6. 26 Sep 2019
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  7. 28 Aug 2019

    If you do development and want to improve , check out the videos from the Mix-Camp E-commerce Search Conference. The links to videos are near the bottom 👇🏼:

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  8. 19 Aug 2019

    Are you new to app ? This post will help you understand what to consider when spec'ing out requirements.

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  9. Retweeted
    16 Aug 2019

    Last call for submitting your CFP to Haystack EU!

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  10. Retweeted
    13 Aug 2019

    How You Can Use Hello LTR - The Learning to Rank Sandbox

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  11. 18 Jul 2019
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  12. 18 Jul 2019

    Bonsai now supports 7.2! Find out why now is a good time to upgrade.

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  13. 15 Jul 2019

    How we built a reversible recommendation system using Elasticsearch, by Pierre Cavalet at : >>

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  14. 12 Jul 2019
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  15. 1 Jul 2019

    Would you like to: 1.) Work from home (or wherever) 2.) Be a part of a small team where your input matters 3.) Solve interesting problems with ? Consider joining our team:

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  16. 30 May 2019
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  17. 21 May 2019

    Learn search relevance from some of the most innovative search teams in the world. The videos are now available:

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  18. 16 May 2019

    "Insights of effective on-site search on an ecommerce website"

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  19. 13 May 2019

    A good read: " Search interface: 20 things to consider" by

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  20. 9 May 2019

    Keep current with the latest features in . It's not too late to register for today's AMA at 1:00 pm CST:

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  21. 7 May 2019

    Do you test your search UI? tested a few solutions to help their users select multiple items from a long list. Check out what they built, and their results:

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