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An AI-powered Question Answering application that uses Retrieval-Augmented Generation (RAG) to provide accurate and context-aware answers from uploaded PDF documents.

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philippe2023/RAG-Question-Answering-App

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RAG-Question-Answering-App

An AI-powered Question Answering application that allows users to upload PDF documents and ask questions based on their content. It leverages Retrieval-Augmented Generation (RAG) techniques to provide accurate and context-aware answers.

Table of Contents

Features

  • Upload and Process PDFs: Users can upload multiple PDF documents for processing.
  • Contextual Question Answering: Ask questions related to the uploaded documents and receive detailed answers.
  • Document Management: View, reprocess, or delete uploaded documents within the app.
  • Adjustable Parameters: Customize the number of documents to retrieve for context.
  • Feedback Mechanism: Provide feedback on the helpfulness of the AI assistant's responses.
  • Interactive Interface: User-friendly interface built with Streamlit, featuring tabs and interactive elements. ]

Installation

Prerequisites

  • Python 3.8 or higher
  • pip (Python package installer)

Clone the Repository

git clone https://github.com/yourusername/DocAssist-QA.git
cd RAG-Question-Answering-App

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An AI-powered Question Answering application that uses Retrieval-Augmented Generation (RAG) to provide accurate and context-aware answers from uploaded PDF documents.

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