DocuGenie 📚✨

DocuGenie is an intelligent document processing and querying system that allows users to interact with their documents through natural language conversations. It combines advanced document processing with AI-powered querying capabilities to make document interaction more intuitive and efficient.

Features 🚀

• Document Processing

  • PDF document upload and processing
  • Multiple document format support (PDF, DOCX, Markdown, CSV, Excel, PPTX, Url)
  • Automatic document sectioning
  • Text extraction and analysis
  • Document status tracking

• Intelligent Querying

  • Natural language queries
  • Context-aware responses
  • GPT-powered document analysis
  • Semantic search capabilities

• Chat Interface

  • Persistent chat history
  • Interactive document exploration
  • Context retention across conversations
  • User session management

Technology Stack 💻

• Backend Framework: FastAPI
• Database: PgVector (PostgreSQL)
• Frontend: React.js, Tailwind CSS

Installation 🛠️

1. Clone the repository:

git clone https://github.com/imontdev25/docugenie.git
cd docugenie/backend

2. Set up virtual environment:

poetry shell

3. Install dependencies:

poetry install --only-main

4. Set up environment variables:

cp .env.example .env
# Edit .env with your configuration

5. Run the application:

uvicorn app.main:app --reload

API Documentation 📖

Document Management

POST /api/v1/documents/upload
GET /api/v1/documents/{doc_uuid}/status
GET /api/v1/documents/{doc_uuid}/sections

Query and Chat

POST /api/v1/query
GET /api/v1/documents/{doc_uuid}/chat-history
DELETE /api/v1/documents/{doc_uuid}/chat-history

Environment Variables 🔑

# necessary env variables
POSTGRES_URI
LOGFIRE_TOKEN
LOGFIRE_PROJECT
AZURE_API_KEY
AZURE_API_VERSION
AZURE_ENDPOINT
GEMINI_API_KEY

Frontend 🖥️

1. Install dependencies:

cd frontend
npm install

2. Environment variables:

API_URL=http://localhost:8000

3. Run the frontend:

npm run dev

Deployment 🚀

Docker

1. Build the Docker image:

docker build -t docugenie .

2. Run the Docker container:

docker run -d -p 8000:8000 docugenie

Usage Examples 💡

Upload Document

import requests

files = {'file': open('document.pdf', 'rb')}
response = requests.post('http://localhost:8000/api/v1/documents/upload', files=files)
doc_uuid = response.json()['doc_uuid']

Query Document

query_data = {
    "query": "What are the main points discussed?",
    "doc_uuid": doc_uuid
}
response = requests.post('http://localhost:8000/api/v1/query', json=query_data)

Development 🔧

Code Style

# Format code
ruff check app/ --unsafe-fixes --fix

Contributing 🤝

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Project Structure 📁

docugenie/
├── frontend/
├── backend/
└── README.md

Roadmap 🗺️

• Multi-document comparison
• API rate limiting
• Batch processing
• Export functionality
• Chat history fix

License 📄

This project is licensed under the License - see the LICENSE file for details.

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Made with ❤️ by Bhavik