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

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

[superace]

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.

[Rania-nm]

Great video sir!!
You explain the concept in an excellent manner.👏

[Rania-nm]

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]

Thanks a lot .. But can you please add a streamlit UI also ?

[aysham]

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]

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

[gloriaavalos]

Do you have a video that shows what libraries to install?