What is a vector database? Why are they critical infrastructure for

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  • čas přidán 18. 10. 2023
  • ‪@zackproser‬ , developer advocate at Pinecone.io, explains what #vectors are from the ground up using straightforward examples.
    Zack explains why vector databases such as Pinecone enable #semantic search, a core pattern for intelligent applications that understand the intent behind the end user's queries.
    Zack also explains how vector databases and the Retrieval Augmented Generation #RAG pattern fixes #llm hallucinations.
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Komentáře • 21

  • @decryptifi2265
    @decryptifi2265 Před 2 dny

    Very nice explanation. Thanks Zack for sharing

  • @barkingchicken
    @barkingchicken Před 7 měsíci +5

    Great job explaining and illustrating how RAG helps improve LLM responses and how Pinecone enables RAG at scale.

  • @AhmedKorany
    @AhmedKorany Před měsícem +2

    I really enjoyed your explanation of what is the vector DB is and it’s role in LLM world.

  • @saliexplore3094
    @saliexplore3094 Před 4 měsíci +3

    Your explanation of embedding spaces was on point! Thanks for sharing.

    • @pinecone-io
      @pinecone-io  Před 4 měsíci +1

      Thanks so much for the feedback, and glad it was useful!

  • @alishafii9141
    @alishafii9141 Před 29 dny +1

    your explanation was great thanks. please keep go on.

  • @mateuszsmendowski2677

    Cool stuff :)

  • @zenfoil
    @zenfoil Před 4 měsíci +2

    Very great video explaining a complex concept

  • @harshadnaidu4294
    @harshadnaidu4294 Před 3 měsíci

    what an excellent explanation

  • @pieter5466
    @pieter5466 Před 8 měsíci +2

    24:55 Doing this for human written summaries of show X is actually a great side project idea...

    • @pinecone-io
      @pinecone-io  Před 8 měsíci

      Totally! If you create something along those lines be sure to let us know

  • @movieoh5
    @movieoh5 Před 8 měsíci +2

    I like your subtitle style! I can focus on your voice more

  • @thelateknights
    @thelateknights Před 2 měsíci

    One question -- it seems to me like each embedding / vector would contain a different number of dimensions. Trying to establish a master-type vector template with every single conceivable dimension represented would involve mainly blank space and be a computational nightmare (hence PCA and other dimensional reduction techniques). So if something complex like "the US Constitution" has thousands of dimensions and something like "grass" has hundreds of dimensions, how can they be compared, seeing as they reside in spaces with different numbers of dimensions? Like, you can't find the distance between an object that resides in 7 dimensional space and an object that resides in 11 dimensional space, right?

  • @Gabriel-wl9yy
    @Gabriel-wl9yy Před 3 měsíci

    Is this the official channel?

  • @maheshh989
    @maheshh989 Před 7 měsíci

    Good content, but the PPT Slides are hazy.. hard to understand

  • @donovanh7878
    @donovanh7878 Před 3 měsíci +1

    Unwatchable with the baked-in closed captions. You are also subverting assistive technologies when not using proper closed captions.

  • @JeffreyMyersII
    @JeffreyMyersII Před 3 měsíci

    What? Since when did English become an ambiguous language? From my understanding, it's the opposite. Ambiguous languages are those like Semitic languages. Just the fact you can use a different English word to clarify an ambiguous English word is unambiguous.

  • @lixpiai
    @lixpiai Před 4 měsíci +2

    Thanks!
    But please don't use the on-screen text, it's horrible! Can't watch the video because of it, soooo annoying!!!!

  • @avidlearner8117
    @avidlearner8117 Před 7 měsíci +2

    Your subtitles, for ADHD people like me, makes it very, very hard to focus on the actual content. To be able to turn it off would be great. Also, it hides content and is unreadable, it’s so quick an$ distracting…. 😢

  • @ytprodata
    @ytprodata Před 3 měsíci +2

    The baked-in subtitles are SO distracting. Really spoils an otherwise good presentation