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RAG Question-Answering System with Gradio

A Retrieval-Augmented Generation (RAG) system to answer questions from a PDF using LangChain, FAISS, and Grok, with a Gradio web interface.

Setup

  1. Install dependencies: pip install -r requirements.txt
  2. Set GROQ_API_KEY in Colab secrets or input it in the Gradio interface.
  3. Run: python RAG_with_Gradio.py

Requirements

See requirements.txt for dependencies.

Usage

  • Upload a PDF via the Gradio interface.
  • Enter a question and adjust retrieved documents if needed.
  • View the answer and source document excerpts.

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