Quepid

@quepid_search

Quepid: Test-driven relevance sandbox for Solr and Elasticsearch

Your Search Engine
Vrijeme pridruživanja: listopad 2014.

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  1. 1. velj

    Quepid is now super easy to download and install yourself with the new Docker based production setup released today in Quepid 6.1.0! Learn more about this and other new features at

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  2. 19. pro 2019.

    Did you know you can add multiple queries at once by separating them with `;` character? Share your Quepid tips here:

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  3. 10. lis 2019.

    And we're back! We doubled the size of the database, and will add some proactive monitoring to let us know when we start running out of head room. We'll also start thinking about if there is a archive function for inactive accounts since is free...

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  4. 9. lis 2019.

    Hosted Quepid at is currently down due to our MySQL database being full and locking us out. We're following up with our provider. Is running out of space a positive sign of user engagement?

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  5. proslijedio/la je Tweet
    25. lip 2018.

    That was fast - / Relevance Engineer Training is full! If still interested, please join the waitlist, and if enough interest we'll do a class the next 2 days July 12 and 13th

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  6. proslijedio/la je Tweet
    14. lip 2018.

    Using & is one thing, using it *well* is quite another! Come July 10 & 11 and learn from and

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  7. proslijedio/la je Tweet
    13. lip 2018.

    - I'm doing Solr/Elasticsearch search relevance training to help fill in missing pieces in open source search. From TF*IDF to Learning to Rank. See you there!

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  8. proslijedio/la je Tweet
    13. lip 2018.

    Create a search relevancy framework - spreadsheets or more automated tools such as - at

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  9. proslijedio/la je Tweet
    26. velj 2018.

    How to Implement a Normalized Discounted Cumulative Gain (NDCG) Ranking Quality Scorer in Quepid

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  10. proslijedio/la je Tweet
    28. velj 2018.

    Hey ! Interested in Elasticsearch relevance & discovery? Come check out Haystack in April!

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  11. proslijedio/la je Tweet
    24. sij 2018.

    We're democratizing machine learning for all search teams, this is one step along that path!

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  12. proslijedio/la je Tweet
    8. pro 2017.

    Announcing Haystack! Because the world needs a search relevance conference.

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  13. proslijedio/la je Tweet
    14. ruj 2017.

    We're consultants helping relevance & discovery teams at places like Wikimedia & Careerbuilder.

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  14. 3. ožu 2017.

    This guy made a way to run Quepid cases in your CI system (relevance in Circle/Travis). Needs beta testers.

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  15. proslijedio/la je Tweet
    3. ožu 2017.

    Quick reminder; we're looking for people to join the Flax team to deliver expert & consultancy & support -get in touch!

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  16. proslijedio/la je Tweet
    29. pro 2016.
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  17. proslijedio/la je Tweet
    30. pro 2016.

    don't 👏 call 👏 yourself 👏 a 👏 millennial 👏 unless 👏 you're 👏 at 👏 least 👏 a 👏 thousand 👏 years 👏 old

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  18. 26. lis 2016.

    Relevance testing > search magic bullets! :)

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  19. 13. lis 2016.

    Hey test-driven relevance for less! 50% off first 3 mos of Quepid Pro w/ discount code lucenerev

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  20. proslijedio/la je Tweet
    12. ruj 2016.

    I believe search engines are the future of recsys, what do you think? Crazytalk?

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