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GPT-4o - Document Question Answering using LangChain - RAG | OpenAI | Retrieval Augmented Generation 

Siddhardhan
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This video is about building a GPT-4o powered Document Question Answering System in Python using Retrieval Augmented Generation (RAG) methodology.
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29 авг 2024

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Комментарии : 11   
@super7ace
@super7ace 2 месяца назад
after searching for 100s of videos on RAG, I finally found someone who really digs deeper into the code and writes the code instead of giving an overview of written code. You got a sub.
@user-Rania-n7m
@user-Rania-n7m 2 месяца назад
Great video sir!! You explain the concept in an excellent manner.👏
@user-Rania-n7m
@user-Rania-n7m 2 месяца назад
Sir, can you please do the same thing without using the open api key. How to do it locally? With ollama or in any local way.
@KumR
@KumR 2 месяца назад
Thanks a lot .. But can you please add a streamlit UI also ?
@aysham3664
@aysham3664 2 месяца назад
Can u make an overview of llm models rag and how it works. how to write code and make chaanges for different models. can u make the overview in single video pleasee. without knowing that watching this concepts were quite challenging. kindly put an seperate video for that.
@AnshikaKanchan
@AnshikaKanchan 2 месяца назад
Hello sir, your all the videos are hepful but it would be great if you collect all the videos related to ML in single playlist and in a proper sequence so that students can easily access, pls consider my request
@gloriaavalos2259
@gloriaavalos2259 2 месяца назад
Do you have a video that shows what libraries to install?
@gloriaavalos2259
@gloriaavalos2259 2 месяца назад
Never mind, I just realized that's the first string you showed us. Thank you!
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