---
title: sehatech-demo
app_file: chat_app.py
sdk: gradio
sdk_version: 5.6.0
---
# 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


#### Prerequisie

This project is only tested on python3.11
some points to consider:
langchain-pinecone works only between versions python3.8   and python3.13 exclusively 

1. Clone the repository:
```bash
git clone https://github.com/yourusername/rag-voice-boilerplate.git
```

2. Install dependencies:
```bash
pip install -r requirements.txt
```

3. Run with Docker:
```bash
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.