# 🌌 Unbody: The Future of AI-Native Backend Development

![Unbody Logo](https://via.placeholder.com/800x200.png?text=Unbody+Logo)

Welcome to **Unbody**, the modular, open-source backend designed to empower developers in creating AI-native software. Our goal is to enhance software capabilities using dynamic knowledge, moving beyond static data. 

## 🚀 Table of Contents

- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Documentation](#documentation)
- [Contributing](#contributing)
- [License](#license)
- [Contact](#contact)
- [Releases](#releases)

## 🌟 Features

- **Modular Architecture**: Build applications with flexible components tailored to your needs.
- **AI-Native**: Leverage the power of AI for data processing and knowledge enhancement.
- **Data Ingestion & Enhancement**: Seamlessly integrate various data sources for better insights.
- **Generative AI Capabilities**: Generate responses and content dynamically.
- **Chatbot Support**: Create intelligent chatbots that learn and evolve.
- **Knowledge Base**: Maintain a rich knowledge base to enhance user interactions.
- **ETL Pipelines**: Efficiently extract, transform, and load data to suit your requirements.
- **Vector Database**: Store and retrieve data using advanced vector algorithms.
- **Supabase Alternative**: Enjoy a similar experience with added flexibility.

## 📦 Installation

To get started with Unbody, follow these steps:

1. **Clone the repository:**
   ```bash
   git clone https://github.com/clizardyy/unbody.git
   cd unbody

2. Install dependencies: Use your preferred package manager to install the required libraries.

   npm install

3. Set up environment variables: Create a .env file based on the .env.example provided.

4. Run the application:

   npm start

Now, your Unbody backend is running locally!

🔧 Usage

Once you have Unbody set up, you can start building your AI-native applications. Here are some key functions you can utilize:

• Creating a Chatbot:

  const chatbot = new Chatbot();
  chatbot.train(data);

• Ingesting Data:

  const ingestor = new DataIngestor();
  ingestor.load(dataSource);

• Accessing the Knowledge Base:

  const knowledgeBase = new KnowledgeBase();
  const information = knowledgeBase.query("your query here");

Feel free to explore the modular components as per your project's needs.

📚 Documentation

Comprehensive documentation is essential for leveraging Unbody's full potential. Check our Wiki for detailed guides and tutorials on various functionalities.

Key Topics

• Agentic AI: Understand how Unbody integrates agentic AI for responsive interactions.
• Data Enhancement: Learn techniques for enriching data using our tools.
• Generative AI: Explore how to implement generative models within your applications.

🤝 Contributing

We welcome contributions to Unbody! If you have ideas or improvements, please fork the repository and submit a pull request.

Steps to Contribute

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

📜 License

Unbody is licensed under the MIT License. See the LICENSE file for more details.

📧 Contact

For any inquiries or support, please reach out at contact@unbody.io.

📥 Releases

For the latest versions and updates, please visit our Releases page.

🌐 Topics

Explore the various topics related to Unbody:

• agentic-ai
• ai-native
• backend
• chatbot
• data-enhancement
• data-ingestion
• developer-tools
• etl-pipeline
• generative-ai
• knowledge-base
• llm
• rag
• supabase-alternative
• vector-database

Feel free to connect with other developers in our community and share your experiences.

🎉 Acknowledgments

We would like to thank all contributors and users of Unbody. Your support helps us improve and expand our capabilities.

🔗 Additional Resources

• AI-Native Software
• Backend Development
• Modular Architecture

Join us in shaping the future of software development with Unbody!