Integration of LLM Application Using Google Gemini Pro and LangChain for Multiple PDF Document Handling

[revanth1718]

To further enhance the capabilities of the platform, I propose integrating a new feature that utilizes Google Gemini Pro and LangChain to handle multiple PDF documents. This feature will employ FAISS vector embeddings to efficiently manage and query the content of multiple PDFs.

I am Participating in GSSOC'24.

[SurajSanap]

Hi @revanth1718,

Thank you for your suggestion and for taking the time to propose an enhancement to the College.ai platform. We truly appreciate your engagement and interest in improving our project.

We are pleased to inform you that the feature you described is already implemented in our project (Ask_To _PDF page). If you have any additional ideas or further enhancements in mind, we would love to hear them. Your contributions are highly valued, and we are always open to improving and expanding the platform.

Once again, thank you for your input and for being an active member of our community.

[revanth1718]

there is an issue in your app!!!

[revanth1718]

Is your app have the capability to handle/chat with multiple PDF documents.

[SurajSanap]

Hi @revanth1718 , We use multiple PDFs for training on my end, but the app is currently unable to process and generate data during queries. It appears there's an issue that needs to be addressed. Thank you for bringing this to my attention. You can go ahead and start working on it.

[SurajSanap]

Additionally, I suggest you clone the repository again as we have made some small updates to it.

[revanth1718]

ok sure

[Rajendran2201]

Hey @SurajSanap,

I can work on this issue as I am familiar with developing chatbots and PDF parsing. Can you assign me this issue under Gssoc'24?

Thank you!

[Kirti-Pant]

@SurajSanap please assign this task to me?