https://github.com/philippe2023/rag-question-answering-app

An AI-powered Question Answering application that uses Retrieval-Augmented Generation (RAG) to provide accurate and context-aware answers from uploaded PDF documents.
https://github.com/philippe2023/rag-question-answering-app

deep-translator langchain ollama pymupdf python3 streamlit transformers

Last synced: 11 days ago
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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.

• Host: GitHub
• URL: https://github.com/philippe2023/rag-question-answering-app
• Owner: philippe2023
• Created: 2024-11-28T15:22:52.000Z (about 1 month ago)
• Default Branch: master
• Last Pushed: 2024-12-17T14:34:51.000Z (16 days ago)
• Last Synced: 2024-12-17T15:37:23.664Z (16 days ago)
• Topics: deep-translator, langchain, ollama, pymupdf, python3, streamlit, transformers
• Language: Python
• Homepage:
• Size: 20.5 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# **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](#features)

- [Installation](#installation)

## **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**

```bash

git clone https://github.com/yourusername/DocAssist-QA.git

cd RAG-Question-Answering-App