ChatCSV App: Chat with CSV files using LangChain and Llama 2

#langchain #llama2 #llama #csv #chatcsv #chatbot #largelanguagemodels #generativeai #generativemodels
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In this video 📝 We will be building a chatbot to interact with CSV files using Llama 2 LLM. In this project-based tutorial, we will be using LangChain's framework for developing applications powered by language models.
We will begin by introducing the architecture of this complete project. Then, we will dive into the code and show you how to load and use the Llama 2 model with LangChain to create a chatbot to interact with CSV Files.

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[Sparzzzzzzzzzzz]

This is absolutely amazing. You explain everything so well too. Thanks so much!

[priyaranjanmarathe]

Excellent tutorial. Thanks for sharing it with us.

[karunyadevi]

TQ sir it's working I feel so happy 🎉

[kunalsoni]

Thanks for making these amazing AI tutorials :)

[amitavroydev]

This is a great video. Thanks for the amazing explaination.
Although some of the code is not relevant with the latest changes to Langchain, but it was easy to fix with GPT :)

[bwucfcv]

Thanks a lot for this tutorial, but i have a question, how to imporve (quantize) this model to be more fast in response becuase i want to use it on a big csv files of movies (30MB) and it takes a lot of time to answer ?

[akshatjain]

how did you create the project?
or its only the virtual environment

[xlqqffh]

Good walk through in general terms of how this might be used in a text search basis, but 30 mins to achieve: select Happiness from table where country = "Finland"; feels like we're missing the point of what these tools can do. I'm not certain it would have been able to handle something like "What is the average happiness of countries in Europe?" or a similar language based question....

[dharmaraj]

this a copy project from AI anytime channel and this project will not work well with CSV which is having more rows and columns

[jennilthiyam]

Hi Mr. Moin. Thank you so much for this wonderful tutorial. Could you please tell me what would I do if I wanted to run this code in GPU and not CPU?

[reassume]

it is taking soo long to give response.... 16gb ram ..i7 processor...any suggestions to speed up?

[MrAhsan]

Is context/chat_history preserved in this app?

[santoshkumar-okhr]

What do we do when multiple CSV's are to be ingested?
Thank you

[matchme]

Can we use api toke instade of using it locally ??

[AbhinavSarkar-cu]

Hey i have a question. What if someone asks a question like tell me the top countries with gdp. I doubt it will answer correctly. What's the solution for it.

[Sarmitha]

When I used the Llama-2 model for 8GB RAM that you mentioned and use a csv of my choice, I get error as Number of tokens (631) exceeded maximum context length (512). How to resolve it?

[kewaljoshi]

Great Tutorial!!
But I have a question here. Do we have an alternate for downloading the Embeddings from Hugging Face website and instead have it locally on our system to run the chatbot locally?

[GiridharReddy-hbnv]

Why not using the CSV_Agent directly from the LangChain Library sir ?
Thanks in advance

[Sarmitha]

Pls can u reply When I used the Llama-2 model for 8GB RAM that you mentioned and use a csv of my choice, I get error as Number of tokens (631) exceeded maximum context length (512). How to resolve it? Pls can someone help