Haystack Open-source framework for question answering system Python Google Colab Demo

Поделиться
HTML-код
  • Опубликовано: 10 янв 2025
  • In this video I demonstrate how Haystack can be used to build search systems. I use Haystack on MIMIC clinical data to build a simple search and question answering engine
    If you like such content please subscribe to the channel here:
    www.youtube.co...
    If you like to support me financially, It is totally optional and voluntary. Buy me a coffee here: www.buymeacoff...
    Relevant Links:
    haystack.deeps...
    colab.research...
    haystack.deeps...

Комментарии • 30

  • @FutureSmartAI
    @FutureSmartAI 2 года назад +1

    Hi Rithesh,
    Thanks. Nice video and a good overview of concepts. Recently I am also exploring Haystack use cases.

  • @mjacfardk
    @mjacfardk 2 года назад +1

    great teacher, thank you brother

  • @aptitudecloud8120
    @aptitudecloud8120 2 года назад

    Hi Rithesh, Thanks for the video.

  • @chandankumar189
    @chandankumar189 2 года назад

    How we can implement the google collab code of QnA model in a web application?

    • @RitheshSreenivasan
      @RitheshSreenivasan  2 года назад

      You need to create and expose a REST api. There are different ways of doing it

  • @abhishekprakash9803
    @abhishekprakash9803 2 года назад

    what about my document i want i asked question from my document ,,,model is able to genearte long answers

    • @RitheshSreenivasan
      @RitheshSreenivasan  2 года назад

      Have a look at haystack documentation to see if there is a parameter that can be modified for long answers

  • @aptitudecloud8120
    @aptitudecloud8120 2 года назад

    Hi Rithesh,
    How to fine tune and deploy this model on aws or on any cloud service?

  • @keerthanam3299
    @keerthanam3299 2 года назад

    Can I know how we can collect the datasets for the nlp on a specific topic?? I am exploring haystack for nlp now. Pls do help

  • @parthgulati4914
    @parthgulati4914 Год назад

    Where can I get this dataset?

    • @RitheshSreenivasan
      @RitheshSreenivasan  Год назад

      Have a look at this video:ruclips.net/video/uYj-uP6CQnA/видео.html

  • @rohitchatterjee2327
    @rohitchatterjee2327 Год назад

    Very nice thank you

  • @sonalikoli384
    @sonalikoli384 2 года назад

    very helpful, concept clearing video for me. thanks for it. but i want to know two things here plz help me in it. actually i am facing error in unzipping the file , i tried it many times. and i also want to know how can i do the same process in pdf file actually i need to insert the pdf file instead of document file , i am following the same process that you explained but getting error. please tell me .

    • @RitheshSreenivasan
      @RitheshSreenivasan  2 года назад

      I am not sure of pdf support in haystack. Check the documentation . Otherwise you need to use python libraries to parse pdf into text

    • @sonalikoli384
      @sonalikoli384 2 года назад

      @@RitheshSreenivasan thanks ritesh. please tell me the unzipping also i got error.

  • @RajdeepBorgohainRajdeep
    @RajdeepBorgohainRajdeep 2 года назад

    Hi Rithesh,
    You videos are very informative,
    I am currently working in this domain but we have prefer not to use full managed systems like haystack.
    The question that I want to ask you is that, When choosing the deep learning model for the embedding what do you consider apart from the available benchmark.
    I our use case we have choose mpnet v2
    It will be much helpful if you can share your thoughts :)
    Much love,
    Rajdeep

    • @RitheshSreenivasan
      @RitheshSreenivasan  2 года назад

      I have generally used BERT based embeddings

    • @RajdeepBorgohainRajdeep
      @RajdeepBorgohainRajdeep 2 года назад

      @@RitheshSreenivasan but Does BERT able to handle huge request

    • @RajdeepBorgohainRajdeep
      @RajdeepBorgohainRajdeep 2 года назад

      The reason we choose mpnet v2 is because of the performance by trading the speed(QPS).

    • @RitheshSreenivasan
      @RitheshSreenivasan  2 года назад

      Use whatever works for you. If the text is related to the domain on which the embeddings were trained then you might get fewer out of vocabulary words

  • @pchandu1995
    @pchandu1995 2 года назад

    is this free? can i run this in my local and create Q and A?

    • @RitheshSreenivasan
      @RitheshSreenivasan  2 года назад

      Yes it is open source. Check system requirements in their GitHub page

  • @sallu.mandya1995
    @sallu.mandya1995 2 года назад

    Thanks