AI Q&A Agent Neural Interface (Backend)

A powerful Django-based backend service that provides an intelligent question-answering system using the Groq API. This application maintains conversation history and provides seamless interaction with advanced language models.

🔗 Related Repositories

• Frontend: AI-QA-Agent-Neural-Interface-Frontend

🌟 Features

• Real-time AI-powered question answering
• Conversation history management
• Session-based interactions
• RESTful API endpoints
• Error handling and logging
• Scalable architecture

🛠️ Tech Stack

• Backend Framework: Django 4.2.7
• API Framework: Django REST Framework 3.14.0
• AI Integration: Groq API
• Cross-Origin Support: django-cors-headers 4.3.1

🚀 Getting Started

Prerequisites

• Python 3.x
• pip (Python package manager)
• A Groq API key
• Frontend application running (see frontend repository)

Installation

1. Clone the repository:

   git clone <your-repository-url>
   cd backend

2. Create and activate a virtual environment:

   python -m venv venv
   venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Set up environment variables: Copy .env.example to create your .env file:

   cp .env.example .env

   Then edit .env with your actual configuration values.

5. Run migrations:

   python manage.py migrate

6. Start the development server:

   python manage.py runserver

🔧 Environment Variables

Required environment variables:

• DEBUG: Set to True for development, False for production
• SECRET_KEY: Django secret key for security
• GROQ_API_KEY: Your Groq API key for AI services
• ALLOWED_HOSTS: Comma-separated list of allowed hosts
• CORS_ALLOWED_ORIGINS: Comma-separated list of allowed CORS origins

Optional database configuration:

• DB_NAME: Database name
• DB_USER: Database user
• DB_PASSWORD: Database password
• DB_HOST: Database host
• DB_PORT: Database port

🔌 API Endpoints

Chat with AI

• POST /chat/
  • Request body:

    {
        "query": "Your question here",
        "session_id": "optional_session_id"
    }

  • Returns AI response and conversation history

Get Conversation History

• GET /history/?session_id=your_session_id
  • Returns conversation history for the specified session

Clear Conversation History

• DELETE /clear/?session_id=your_session_id
  • Clears conversation history for the specified session

🔒 Security

• CSRF protection enabled
• Environment variables for sensitive data
• Session-based conversation management
• Error logging and handling

🤝 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

📝 License

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

⭐ Elite Experience

Experience the power of advanced AI with our Neural Interface - providing instant, intelligent responses to your queries while maintaining context and conversation flow.