Implemented multi-aspect embeddings from Multi-Head RAG. Took inspiration from this paper: https://arxiv.org/abs/2406.05085

Steps to Run the Application

Frontend:

1. Navigate to the frontend directory.
2. Install the required dependencies:

   npm i

3. Start the frontend server:

   npm start

Backend:

1. Ensure all dependencies are installed. These can be found in the requirements.txt file. Install them using:

   pip install -r requirements.txt

2. To upload your document and replace the embeddings of the existing sample research paper:

   • Run the following command:

     python documentapi.py

   • Once executed, enter the path to your file when prompted.

3. After uploading the document, start the query API by running:

   python query_api.py

4. You can now ask questions about your uploaded PDF on the frontend, and the backend will provide answers based on the document.