RAG Voice Boilerplate

A production-ready Python boilerplate for building RAG (Retrieval Augmented Generation) applications with voice processing capabilities.

🚀 Features

• 📚 RAG Engine Integration
• 🎤 Voice Processing Pipeline
• 🗄️ Vector Store Support
• 🐋 Docker Containerization
• 🧪 Testing Infrastructure
• 🔧 Modular Architecture

🏗️ Project Structure

├── app/
│   ├── __init__.py
│   ├── main.py
│   ├── config.py
│   ├── api/
│   │   ├── __init__.py
│   │   └── routes.py
│   ├── core/
│   │   ├── __init__.py
│   │   ├── rag_engine.py
│   │   ├── voice_processor.py
│   │   └── document_processor.py
│   ├── database/
│   │   ├── __init__.py
│   │   ├── vector_store.py
│   │   └── db.py
│   └── utils/
│       ├── __init__.py
│       └── helpers.py
├── tests/
│   └── __init__.py
├── docker/
│   ├── Dockerfile
│   └── docker-compose.yml
├── requirements.txt
└── README.md

🚦 Quick Start

1. Clone the repository:

git clone https://github.com/yourusername/rag-voice-boilerplate.git

2. Install dependencies:

pip install -r requirements.txt

3. Run with Docker:

docker-compose up -d

📚 Documentation

Core Components

• rag_engine.py: Handles retrieval augmented generation operations
• voice_processor.py: Processes audio input/output
• document_processor.py: Manages document parsing and preprocessing
• vector_store.py: Manages vector embeddings and similarity search

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

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