tpayet

7 ms·

1. 1.▲
   by tpayet 1y ago

   Meilisearch | 2 senior roles |Full-time | Hybrid (Paris, France) - Remote EU Platform Engineer - https://jobs.lever.co/meili/b2d59837-20d6-470d-899b-8ddc081f... Senior Software Engineer Rust - https://jobs.l
2. 2.▲
   What 1k Contributors Taught Me About Open-Source(blog.curqui.com)

   12 points by tpayet 1y ago|4 comments
3. 3.▲
   by tpayet 1y ago

   I read Zig's new LinkedIn API, and I was intrigued
4. 4.▲
   by tpayet 1y ago

   Meilisearch keeps all the data on disk. It uses memory-mapping for optimizing performance, by default everything is safe on disk and the OS cache the most needed pages in memory. So it works on any machine, really. 2GiB is usually enough fo
5. 5.▲
   by tpayet 1y ago

   Actually, Meilisearch uses the RAM available by design because it uses LMDB (which is memory-mapped) under the hood for key-value storage. It's a feature, not a bug :D The cool thing about that is that it is the OS that will get to cho
6. 6.▲
   by tpayet 1y ago

   Yup it is, Meilisearch Cloud offers 99.99% SLA :) We served billions of searches for hundreds of customers monthly
7. 7.▲
   by tpayet 1y ago

   Reach out to the sales or CS team, depending on your workload we could open that region pretty quickly :D
8. 8.▲
   by tpayet 2y ago

   Hi! I am from the Meilisearch team :) Meilisearch has been designed from the ground up for end-user search. We target to answer results in less than 50ms to give the impression of instantaneity, which is what you are looking for when buildi
9. 9.▲
   by tpayet 4y ago

   Congrats on the launch!
10. 10.▲
    by tpayet 4y ago

    Hello! No we don't yet, we are considering it though.
11. 11.▲
    by tpayet 4y ago

    Thank you Markus <3
12. 12.▲
    by tpayet 4y ago

    Thanks :D
13. 13.▲
    by tpayet 4y ago

    That's the point! We don't ambition to compete with Elastic on everything (logs, analytics, etc). We are doing search for front-end users with a strong focus on relevancy, speed & developer experience. You can read a bit more
14. 14.▲
    by tpayet 4y ago

    Thank you very much! I'll share your comment with the team <3
15. 15.▲
    by tpayet 4y ago

    Feel free to reach out to quentin@meilisearch.com, we'll find a way for you to evaluate the pro plan!
16. 16.▲
    by tpayet 4y ago

    Sorry, it might not be obvious, but you can go over the free tier and pay for the usage at 0.25$ for each 1000 searches/documents :)
17. 17.▲
    Meilisearch 1.0 – Open-source search engine built in Rust(blog.meilisearch.com)

    448 points by tpayet 4y ago|180 comments
18. 18.▲
    Meilisearch, open-source alternative to Algolia in Rust lands a $15M Series A(techcrunch.com)

    36 points by tpayet 4y ago|3 comments
19. 19.▲
    by tpayet 4y ago

    Meilisearch | https://jobs.lever.co/meili | Remote (GMT-4 to GMT +5) | 4day workweek Meilisearch is an open-source search API. We provide developers tools to implement search bars, so their users spend less time searching &
20. 20.▲
    by tpayet 4y ago

    We are building Meilisearch, an open-source search engine API and we are working 4-day a week :) -> https://jobs.lever.co/meili
21. 21.▲
    by tpayet 5y ago

    Thanks kevinsf90 :D Meilisearch is really focus towards `end-user search` or `customer-facing search` so, there is few chances we go in that direction. But we are really aiming to be the easier, simpler and thus more performant alternativ
22. 22.▲
    by tpayet 5y ago

    to be quite honest, it dit not. We are not there yet and if even get to the size of what elastic is today, we would be extremely glad :D
23. 23.▲
    by tpayet 5y ago

    Thank you nojs! Future of search is exciting
24. 24.▲
    by tpayet 5y ago

    Thank you shuky :D
25. 25.▲
    by tpayet 5y ago

    Hello, MeiliSearch team here :) Please, do not hesitate to leave an issue on the Golang repository so we can improve it! Also, indexing time will be much better with v0.21 planned to be released in a couple of days / weeks. You can te
26. 26.▲
    by tpayet 6y ago

    Cool project :) How would you compare QuestDB against TimescaleDB?
27. 27.▲
    by tpayet 6y ago

    I am glad to hear there are more and more people that accepts those new kind of open source, not the official definition of the OSI but more like the global idea behind it
28. 28.▲
    by tpayet 6y ago

    You might want to talk to kero ( https://github.com/Kerollmops/ ). He is currently working on it !
29. 29.▲
    by tpayet 6y ago

    We are working on both replication (for high availability and we may use the Raft consensus) and distribution (sharding to scale horizontally and keeping low latency)
30. 30.▲
    by tpayet 6y ago

    Actually Lucene is the library for search that Elastic uses under the hood. Lucene does not provide any HTTP API, which Elastic does. Before using Lucene, you have to build the interface around it. In this way MeiliSearch is comparable to E