Question & Answer Bot using Rag
🧠 Overview
This project is a PDF-based Question Answering Bot built with Streamlit. It allows users to:
- Upload a PDF file
- Ask questions related to the content
- Get accurate answers directly extracted from the uploaded document
It's a lightweight interface demonstrating how language models can interact with document-based knowledge in a user-friendly way.
🚀 Features
📄 Upload and parse any PDF document
❓ Ask context-specific questions related to the PDF
💬 Receive concise answers using natural language understanding
⚡ Interactive UI built with Streamlit
📁 Sample PDF
- Upload a Sample PDF.
- Ask: What is Physical Addressing?
- Get a concise, context-aware answer extracted directly from the text.
📸 Output Screenshot
The example below shows the bot answering a question extracted from a PDF about networking concepts:
💡 Example Use Cases
~ University notes → "Define ARP or OSI model?"
~ Research papers → "What is the key finding of section 3?"
~ Legal documents → "What clause discusses ownership rights?"
🙌 Acknowledgements
- Built with ❤️ using Streamlit
- Inspired by document Q&A systems like LangChain and ChatPDF