Thank you!, can I know lets assume if our data is residing in two different csv in this case how should prepare the data. When we ask any question it should look into both csv's and give the response. Can you tell me how to prepare the data(here data is huge).
Thanks for the tutorial. I was wondering how would you do the same if the had to be extracted from more than one cab file? Let’s say if the answer needs to combine information from csv1 and csv2?
For the context , you have passed only head which is 5 rows , we can achieve this easily.What if my dataframe is huge? This is where im getting issue in openAI APIs , can this be solved in Azure openAI??
You will see extension button on left panel in VS Code. Click on that and it will open up a panel for you, where in you can search the extension with name.
Many thanks once again! personally I learn very interesting things from you 😊
Happy to hear that!
Thank you!, can I know lets assume if our data is residing in two different csv in this case how should prepare the data. When we ask any question it should look into both csv's and give the response. Can you tell me how to prepare the data(here data is huge).
Is it not possible to pull them into single df?
Thanks for the tutorial.
I was wondering how would you do the same if the had to be extracted from more than one cab file? Let’s say if the answer needs to combine information from csv1 and csv2?
Did you try to construct single df for both of those ? That would do the trick.
This is really great, only thing is I can't use the whole data frame it's saying out of token
Please consider only the required columns and go with model having better token limits. BTW, which model are you using?
For the context , you have passed only head which is 5 rows , we can achieve this easily.What if my dataframe is huge? This is where im getting issue in openAI APIs , can this be solved in Azure openAI??
I missed your intro , can you make a video how to handle huge CSV files
In case of huge data, you have to use advance RAG, where in you need to chunk your data and perform semantic search before passing it to LLM.
Cool 🆒
😎
Can we do same without using the code? in the AI Studio itself
Indeed, you can
how to install the extension in vscode extension name?
You will see extension button on left panel in VS Code. Click on that and it will open up a panel for you, where in you can search the extension with name.