Building RAG based model using Langchain | rag langchain tutorial | rag langchain huggingface

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  • Опубликовано: 11 фев 2024
  • Building RAG based model using Langchain | rag langchain tutorial | rag langchain huggingface
    #datascience #ai #chatgpt
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Комментарии • 39

  • @RazYousufi
    @RazYousufi 4 дня назад

    Just Perfect! BUT, Aman! Please make a lecture on how to train our own machine learning model based on a CSV dataset (classification), run it on the Huggingface/AWS-cloud, and integrate it with the LLMs (probably using RAG for best response). I want to create an alerting system in which the driver should be alerted if he approaches to an accident-prone area (based on the prediction of the ML model and the live location of the driver, possibly received from google map API). I think many APIs should be integrated, such as Google Maps for providing live stream of data and the road conditions, the Fast API/Flask, and many more that you know better. Thank you!

  • @AInotebooks
    @AInotebooks 2 месяца назад

    perhaps, the best RAG explanation on RAG model

  • @rajapinja9297
    @rajapinja9297 2 месяца назад

    Wow..simply superb

  • @PhotoShareLinks
    @PhotoShareLinks Месяц назад

    To the point.
    Well done Aman.

  • @user-jp3ez5vb6h
    @user-jp3ez5vb6h 2 месяца назад

    THank you Sir, awesome

  • @brijeshkp2000
    @brijeshkp2000 3 месяца назад

    Thanks a lot Aman. probably best explanation of RAG for beginners like me. Waiting for your langchain video

  • @debirath4916
    @debirath4916 Месяц назад

    as always precisely perfect...

  • @abhiramvaranasi_1432
    @abhiramvaranasi_1432 2 месяца назад

    Nice video explain langchain in detail for beginners with zero knowledge

  • @amolamahajan
    @amolamahajan Месяц назад

    Aman - this is great. yes we need videos on LangChain.

  • @YadandlaKumar
    @YadandlaKumar 6 дней назад

    Hi aman, this is simply superb, could you please do a video on complete end to end RaG with Agents, Thank you

  • @ayyanarjayabalan
    @ayyanarjayabalan 3 месяца назад +1

    You are awesome. Do videos on langchain.

  • @georgechristy11
    @georgechristy11 4 месяца назад

    Never heard about langchain, very informative video. Also, I wanted to know if you have any suggestions for implementing a time series models?

  • @stevejos8235
    @stevejos8235 2 месяца назад

    very informative video, i was wondering which retriver model you use

  • @radheshyamdhote2017
    @radheshyamdhote2017 4 месяца назад +2

    Not aware with langchan and please take end to end real time project but cover everything from scratch like creating environment and all .

  • @stanTrX
    @stanTrX 24 дня назад

    thanks and yes please explain more about retriever part 15:58 . my other question is do i have to embed the documents each time i execute the program, probably not but how to avoid it?

  • @ravikats1
    @ravikats1 13 дней назад

    Verywell explained but title should be changed to opeai. RAG is explained greatly!

  • @PinkFloydTheDarkSide
    @PinkFloydTheDarkSide 4 месяца назад

    Thanks Aman for great video. However, there are some questions that went unanswered. Your video title mentions using hugging face but you used openai. Do you know what hugging face model can give us similar analysis?
    Another question and a very important one is that let's suppose we are using an excel sheet data base. Now I want to create a chatbot that can answer me questions like what is sum total of the amount? I am sure openai understand what sum total means so it will simply sum it and give us that. But what if i want some custom operation on the amount field which openai doesn't know but i want it to fetch data from the sheet, check for custom function in my python code and apply that fucntion and give me output? Traditionally, we do that without LLM where our code pulls data and perform operation. But how to do that utilizing open ai. I hope you get my question.

  • @ryu_no_kagizume
    @ryu_no_kagizume 3 месяца назад

    Awesome video!
    Sir are you working in TCS? 😅

  • @paragjadhav5142
    @paragjadhav5142 17 дней назад

    Please create a separate video on Langchain

  • @rajapinja9297
    @rajapinja9297 2 месяца назад

    Hi Aman, Your videos are very good, but can you do a simple video where we need minimum model required to perform these programs, I believe you are using paid versions where we cannot have access to practice,..appreciate if you give us more such details for practicing the smae

  • @AnilKumar-im2ur
    @AnilKumar-im2ur 4 месяца назад +3

    Very informative Aman, Could you please make one end to end real time llm model using Lang chain in detail.

  • @kannansingaravelu
    @kannansingaravelu Месяц назад

    how do we use prompt template when using "create_conversational_retrieval_agent"

  • @mahipatil369
    @mahipatil369 Месяц назад

    Hello sir please make seperate video on langchain framework.., I am waiting..

  • @I_Anupam_Pandey
    @I_Anupam_Pandey 4 месяца назад

    Very informative video sir can you also share the source code in description of the video

  • @krishnamurthysreeramulu1699
    @krishnamurthysreeramulu1699 2 месяца назад

    While i am trying to integrate openai embeddings i get this error as need to pip install sentence transformers ..

  • @amritapal4096
    @amritapal4096 Месяц назад

    Hi sir I m not familiar with Langchain . Request you to please create videos on the same . Thanks in advance 🙏🏼

  • @rajdeepchakravorty466
    @rajdeepchakravorty466 15 дней назад

    where can I find the codes it is'nt available in the gdrive link!

  • @vishalgarg7207
    @vishalgarg7207 4 месяца назад

    Can I get the notebook please?

  • @robinverma1165
    @robinverma1165 2 месяца назад

    I can't find the code for this video. Can you please share.

  • @golubagdwal9219
    @golubagdwal9219 2 месяца назад

    Where is the jupyter notebook? Not able to find it in the drive.

    • @cha5848
      @cha5848 2 месяца назад

      hey did u found the notebook?

  • @gunaseelana153
    @gunaseelana153 2 месяца назад

    Need langchain basics separate video

  • @user-cl4pd9mt5n
    @user-cl4pd9mt5n 3 месяца назад +2

    BadRequestError: Error code: 400 - {'error': {'message': "'My Fav Book Atomic Habits' does not match '^[a-zA-Z0-9_-]{1,64}$' - 'functions.0.name'", 'type': 'invalid_request_error', 'param': None, 'code': None}} i got this error in last line of code can you help me solve this

    • @varunmadhavan3227
      @varunmadhavan3227 2 месяца назад

      Same error.

    • @atulkishore9159
      @atulkishore9159 2 месяца назад

      ​@@varunmadhavan3227 Try storing keys in a separate file in the jupyter notebook and then call it in your notebook using os.
      This might solve this issue. Best of luck.

  • @mandarmore.9635
    @mandarmore.9635 3 месяца назад

  • @TanankiRohit
    @TanankiRohit 2 месяца назад

    Please build few complex ones with comples use cases like in real time project. It really help everyone @unfolddatascience