Vector Search: Powering the Next Generation of Applications

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  • เผยแพร่เมื่อ 22 พ.ย. 2024

ความคิดเห็น • 21

  • @greendsnow
    @greendsnow ปีที่แล้ว +33

    is there a soccer match going on in the meanwhile?

  • @hanslanger4399
    @hanslanger4399 ปีที่แล้ว +2

    One of the best presentation I have ever seen about an overview of embeddings/ vector data, Thank you for sharing. Ben Flast, you are brilliant, great job!

  • @NeverReply
    @NeverReply ปีที่แล้ว +6

    Such a nice feature explaning for a late bed time. But hands down, that was really inspiring!

    • @MongoDB
      @MongoDB  ปีที่แล้ว

      Thank you for the kind words!

  • @robertcormia7970
    @robertcormia7970 11 หลายเดือนก่อน

    This was outstanding! I'm just a neophyte, but thinkng about an application involving vector embeddings of complex data, electron spectroscopy, probably a very high dimensional vector.

  • @pedrorabbi
    @pedrorabbi 11 หลายเดือนก่อน

    @MongoDB Are there any additional costs for using that? Aside for the inherent costs of a little more storage and maybe a little more processing

  • @jorgegimenezperez9398
    @jorgegimenezperez9398 ปีที่แล้ว +4

    Damn people in the background are very hyped about vector search!

  • @darkstudio3170
    @darkstudio3170 ปีที่แล้ว +1

    Great presentation. One question , how this gonna work in distributed environent ? for suppose a new querry , the nearest neigbours may be present in different nodes / partitions.

  • @MarcSalvat89
    @MarcSalvat89 ปีที่แล้ว +2

    Thanks for the presentation! It's a very nice feature, but will you release it outside of Atlas for on-premises systems?

    • @MongoDB
      @MongoDB  ปีที่แล้ว

      For now the feature is only available for MongoDB Atlas

  • @Tritoon710
    @Tritoon710 ปีที่แล้ว +4

    Would love to see MongoDB as embedded database for desktop application as well.

    • @justdoeverything8883
      @justdoeverything8883 ปีที่แล้ว +1

      It is with MongoDB Realm! I just found out about it today actually.

  • @ajithkumar0
    @ajithkumar0 ปีที่แล้ว

    This is nice. How can we run vector search with a filter for geo location.
    Its asking for two indexes in the same pipeline, knnVector and geo type indexes - which is not possible as of now?

  • @siddheshshirawale4115
    @siddheshshirawale4115 ปีที่แล้ว +1

    very informative presentation. How can I implement vector search on already inserted documents ?

  • @thcookieh
    @thcookieh ปีที่แล้ว +2

    What about the costs?

  • @rajithkumar3424
    @rajithkumar3424 ปีที่แล้ว

    Nice presentation . Finally Mongo into Vector Search . way to go

  • @adrianthomas5934
    @adrianthomas5934 ปีที่แล้ว

    Nice presentation. Are vectors only field level or could the embeddings be for all the fields in a document? Also will standalone servers support this in the near future not just Atlas based? tia

  • @harrykekgmail
    @harrykekgmail ปีที่แล้ว +2

    great presentation. thank you. MongoDB, way to go!

    • @MongoDB
      @MongoDB  ปีที่แล้ว

      We're glad you enjoyed it! 💚