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Ask PDF Bot

A Telegram bot that answers questions based on the content of uploaded PDF documents. The bot uses a Retrieval-Augmented Generation (RAG) pipeline powered by the mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated model from Hugging Face.

Features

  • PDF Processing: Upload a PDF document, and the bot will process it to create a searchable vector store.
  • Question Answering: Ask questions about the content of the uploaded PDF, and the bot will provide accurate and concise answers.
  • RAG Pipeline: Combines a vector store (FAISS) with a custom LLM wrapper for context-aware responses.
  • Telegram Integration: Easy-to-use bot interface for seamless interaction.

Prerequisites

Before running the bot, ensure you have the following:

  1. Python 3.8+: The bot is written in Python.
  2. Telegram Bot Token: Obtain a bot token from BotFather.
  3. Hugging Face Model: The bot uses the mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated model. Ensure you have access to it on Hugging Face.

Installation

  1. Clone the Repository: 
    git clone https://github.com/yourusername/telegram-pdf-qa-bot.git
cd telegram-pdf-qa-bot