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

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Building RAG based model using Langchain | rag langchain tutorial | rag langchain huggingface
#datascience #ai #chatgpt
Hello,
My name is Aman and I am a Data Scientist.

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perhaps, the best RAG explanation on RAG model

AInotebooks
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Excellent Introduction to RAG system. Aman has a skill of understanding what information needs to go into a learner's brain first and what should come next. This makes the lectures very easy to understand and follow.

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

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

brijeshkp
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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!

RazYousufi
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Nice video explain langchain in detail for beginners with zero knowledge

abhiramvaranasi_
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You explain concepts very well. It would be great if you could provide a video about LangChain.

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

georgechristy
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You are awesome. Do videos on langchain.

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

stevejos
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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?

stanTrX
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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.

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

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

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

AnilKumar-imur
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Awesome video!

Sir are you working in TCS? 😅

ryu_no_kagizume
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Can you explain what are the critical interview questions on gen ai?

ravindarmadishetty
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how do we use prompt template when using

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

radheshyamdhote
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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

rajapinja