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---
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.
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