Flowise: How to chat with your PDF using no-code UI Framework

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  • Опубликовано: 25 авг 2024
  • [NEW] • Flowise/Langflow: How ... demonstrate the code and logic behind this Flowise chatbot. Please feel free to check it out.
    Thank you for watching. Hope you have a nice day.
    A Tutorial for Flowise UI
    Flowise is a TS/JS no-code UI tool for LangChain , if you are familiar with JS, please feel free to contribute to this project.
    github.com/Flo...
    About me:
    Welcome to my RUclips channel! As an AI engineer working at Tech Giant, I am excited to share my knowledge and insights with you. Join me as we delve into the fascinating world of artificial intelligence, machine learning, and everything related to cutting-edge technology.
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Комментарии • 31

  • @leonamnagel9999
    @leonamnagel9999 Год назад +4

    Thank you, we need more videos like this to understand the possibilities

    • @techwithray8943
      @techwithray8943  Год назад +1

      Thank you so much for watching. I am new to RUclips and still improving my video quality.

  • @darwinchan5573
    @darwinchan5573 Год назад

    great! keep sharing with us your knowledge and skills

  • @raphauy
    @raphauy Год назад

    Awesome!!! Insta subscribed! Thank you very much for sharing, I will contribute with you.

  • @RolandoLopezNieto
    @RolandoLopezNieto 7 месяцев назад

    Great video, thanks

  • @sir_alist
    @sir_alist Год назад

    Круто, 13:00 жду с нетерпением :)

  • @techwithray8943
    @techwithray8943  Год назад +2

    Timestamp
    1. Build a basic Chatbot: ruclips.net/video/ROoGbFrvuwM/видео.html
    2. Build a Chatbot to Chat with PDF: ruclips.net/video/ROoGbFrvuwM/видео.html

  • @leonamnagel9999
    @leonamnagel9999 Год назад +2

    Two questions
    1 - Why do you prefer Hugging Face Inference for Embeddings?
    2 - Do not need to put the model for embedding?

    • @techwithray8943
      @techwithray8943  Год назад +4

      Hi Thank you for your question.
      Q1: Hugging Face Embedding is free, while OpenAI Embedding will charge fee based on the number of tokens. If we embedding PDF files with few hundreds of pages, the fee might be out of expectation.
      Q2: We do not need to put the model for embedding, as there is DEFAULT_MODEL_NAME. You can check Flowise source code here github.com/FlowiseAI/Flowise/blob/ff93d11913e00ef2daa390757a2a0ed14485c234/packages/components/nodes/embeddings/HuggingFaceInferenceEmbedding/HuggingFaceInferenceEmbedding.ts#L3, it use the HuggingFaceInferenceEmbeddings, which has the DEFAULT_MODEL_NAME, please refer here python.langchain.com/en/latest/_modules/langchain/embeddings/huggingface.html (python code and LangchainJS should be the same logic).

    • @leonamnagel9999
      @leonamnagel9999 Год назад

      @@techwithray8943 Thank you

  • @tgwashdc
    @tgwashdc Год назад

    Best yet! Thank you!
    If the pdf has a structured table, will the split and encode destroy easy extraction of meaningful relationships in a query?

  • @nate5655
    @nate5655 5 месяцев назад

    Do you think i can setup flowise to read a folder locally for csvs looking for a name and then using those csvs or pdfs i guess, to talk about data. Instead of the built in download for csv agent.

  • @peroforrr7663
    @peroforrr7663 Год назад +2

    Hello, 🎉 great content! I would like to request a video on a solution for chatting on PDFs using an open-source model from Hugging Face that utilizes GPU and ensures data privacy.

    • @techwithray8943
      @techwithray8943  Год назад

      Thanks for watching. I will work on this request and record another video.

  • @user-sm2dt6pu2v
    @user-sm2dt6pu2v 9 месяцев назад

    After replicating your structure I am getting 0 in the response of all my prompts
    Where am i going wrong? Please explain

  • @caseykendall
    @caseykendall 9 месяцев назад

    How do you add a prompt to the LLM chain so it can answer from documents?

  • @Milan-Jadav
    @Milan-Jadav 11 месяцев назад

    How can i use Chat Prompt Template on ChatOpenAI with memory?

  • @DS-ig1bf
    @DS-ig1bf Год назад

    Great content. question! I tried it and it seems answers are restricted to the content of the doc and can’t go out of context. Is there any way around that so it can respond like the normal ChatGPT and also refer to the doc?

    • @techwithray8943
      @techwithray8943  Год назад

      Yes, you are right!! It cannot go beyond the content you have. Cuz the purpose of this is to find content in you PDF, not from ChatGPT. If you really want to go beyond your PDF, one solution: you can wrap your search function to Function Calling from ChatGPT endpoint, you can get some ideas from ruclips.net/video/gtbj4AgOkTo/видео.html. Hope this is helpful for you.

  • @nntun03
    @nntun03 Год назад

    perfect for searching Turing..can i search other words besides Turing?

    • @techwithray8943
      @techwithray8943  Год назад

      Yes, you can search another words, it will give you other related content. You can check this video, it shows more example ruclips.net/video/MERQHJBCq4c/видео.html.

  • @segarlinktech
    @segarlinktech Год назад

    good AI

  • @liuchuchenliu2802
    @liuchuchenliu2802 Год назад

    Have you successfully debugged with azure openai api? I tried several times, it was fine with openai but not successful with azure

    • @techwithray8943
      @techwithray8943  Год назад

      Hi, I did not use azure openai api. It should be simple to use it. Let me try it first and get back to you. Thanks.

    • @liuchuchenliu2802
      @liuchuchenliu2802 Год назад

      @@techwithray8943 Thank you, but I just succeeded after changing a set of APIs. Obviously, there is a certain difference between using azure and native openai to generate content😄

    • @techwithray8943
      @techwithray8943  Год назад

      @@liuchuchenliu2802 I am so glad that you figured out. I checked the azure oai services, the authentication is a bit different and the gpt version might be different from what we choose from openai.

  • @danzreview
    @danzreview Год назад

    how to combine Prompt and PDF

    • @techwithray8943
      @techwithray8943  Год назад

      Hi thanks for watching. You can use LLM Chain to directly use prompt, or use Conversational Retrieval QA chain to add "inputs" along with embedings and send to OpenAI API.