An LLM chatbot that scrapes the web for relevant articles and allows for QnA interaction with the PDFs for the user.
Features:
- First scrape the web for relevant papers relating to a scientific keyword
- Then store the PDFs as embeddings in a vector database
- Then allow for users to query from the different PDFs through an LLM
- Allows you to generate different summaries for the PDFs
- Allows you to generate an overall summary from all the PDFs
Add your own OPENAI_API_KEY to the .env file for the code to work.
Main file to run: pdf_reader_app.py.
A langchgain tutorial notebook is included LangChain.ipynb to help users understand the underlying concepts of RAG.