examples

MultiMind SDK Examples

This directory contains examples demonstrating the various capabilities of the MultiMind SDK, organized into multiple categories for different use cases and features.

Directory Structure

examples/
├── api/                 # API integration examples
│   ├── fastapi/        # FastAPI server examples
│   └── rest/           # REST API client examples
│
├── cli/                # Command-line interface examples
│   ├── basic/          # Basic CLI usage
│   └── advanced/       # Advanced CLI features
│
├── compliance/         # Compliance and security examples
│   ├── audit/          # Audit logging
│   └── security/       # Security features
│
├── data/               # Sample data for examples
│   ├── sample_image.jpg
│   └── sample_audio.mp3
│
├── ensemble/           # Model ensemble examples
│   ├── basic/          # Basic ensemble methods
│   └── advanced/       # Advanced ensemble techniques
│
├── hybrid_workflow/    # Hybrid workflow examples
│   ├── basic/          # Basic hybrid workflows
│   └── advanced/       # Advanced hybrid processing
│
├── mcp/                # Model Control Protocol examples
│   ├── basic/          # Basic MCP usage
│   └── advanced/       # Advanced MCP features
│
├── memory/             # Memory management examples
│   ├── basic/          # Basic memory operations
│   └── advanced/       # Advanced memory features
│
├── model_conversion/   # Model conversion examples
│   ├── basic/          # Basic model conversion
│   └── advanced/       # Advanced conversion techniques
│
├── model_management/   # Text-based model management
│   ├── basic/          # Basic model operations
│   ├── advanced/       # Advanced features
│   └── training/       # Model training examples
│
├── multi_modal/        # Multi-modal processing
│   ├── basic/          # Basic multi-modal examples
│   ├── advanced/       # Advanced multi-modal features
│   └── workflows/      # Complex multi-modal workflows
│
├── multi_model/        # Multi-model integration
│   ├── basic/          # Basic multi-model usage
│   └── advanced/       # Advanced multi-model features
│
├── observability/      # Observability examples
│   ├── logging/        # Logging examples
│   ├── metrics/        # Metrics collection
│   └── tracing/        # Distributed tracing
│
├── pipeline/           # Pipeline examples
│   ├── basic/          # Basic pipeline usage
│   └── advanced/       # Advanced pipeline features
│
├── rag/                # Retrieval-Augmented Generation
│   ├── basic/          # Basic RAG implementation
│   └── advanced/       # Advanced RAG features
│
├── streamlit-ui/       # Streamlit UI examples
│   ├── basic/          # Basic UI components
│   └── advanced/       # Advanced UI features
│
└── vector_store/       # Vector store examples
    ├── basic/          # Basic vector operations
    └── advanced/       # Advanced vector features

Category Descriptions

1. API Examples (api/)

• FastAPI server implementation
• REST API client usage
• API authentication and security
• Rate limiting and caching

2. CLI Examples (cli/)

• Command-line interface usage
• Custom command creation
• Interactive shell features
• Configuration management

3. Compliance Examples (compliance/)

• Audit logging implementation
• Security best practices
• Data privacy features
• Compliance monitoring

4. Ensemble Examples (ensemble/)

• Model ensemble techniques
• Weighted voting systems
• Stacking and blending
• Performance optimization

5. Hybrid Workflow Examples (hybrid_workflow/)

• Combined model workflows
• Multi-stage processing
• Pipeline optimization
• Resource management

6. MCP Examples (mcp/)

• Model Control Protocol usage
• Workflow management
• State handling
• Error recovery

7. Memory Examples (memory/)

• Memory management
• Caching strategies
• State persistence
• Resource optimization

8. Model Conversion Examples (model_conversion/)

• Model format conversion
• Framework migration
• Optimization techniques
• Compatibility handling

9. Model Management Examples (model_management/)

• Text model operations
• Model switching
• Cost optimization
• Performance tracking

10. Multi-Modal Examples (multi_modal/)

• Image processing
• Audio processing
• Cross-modal analysis
• Unified processing

11. Multi-Model Examples (multi_model/)

• Multiple model integration
• Model routing
• Fallback handling
• Performance optimization

12. Observability Examples (observability/)

• Logging implementation
• Metrics collection
• Distributed tracing
• Performance monitoring

13. Pipeline Examples (pipeline/)

• Pipeline creation
• Stage management
• Error handling
• Resource optimization

14. RAG Examples (rag/)

• Retrieval implementation
• Context management
• Query optimization
• Result ranking

15. Streamlit UI Examples (streamlit-ui/)

• UI component creation
• Interactive features
• Data visualization
• User experience

16. Vector Store Examples (vector_store/)

• Vector operations
• Similarity search
• Index management
• Performance optimization

Getting Started

1. Setup Environment:

   # Install dependencies
   pip install -r requirements.txt
   
   # Set up environment variables
   export OPENAI_API_KEY="your-key"
   export ANTHROPIC_API_KEY="your-key"
   export HUGGINGFACE_API_KEY="your-key"

2. Run Examples:

   # Basic examples
   python examples/model_management/basic/basic_usage.py
   python examples/multi_modal/basic/model_registration.py
   
   # Advanced examples
   python examples/model_management/advanced/intelligent_switching.py
   python examples/multi_modal/advanced/cost_optimized_processing.py

Requirements

• Python 3.8+
• Required packages:
  • fastapi
  • uvicorn
  • requests
  • pydantic
  • torch
  • numpy
  • pillow
  • soundfile
  • pandas
  • scikit-learn
  • matplotlib
  • seaborn
  • nltk
  • pyyaml
  • openpyxl
  • pyarrow
  • streamlit
  • redis
  • elasticsearch
  • chromadb
  • faiss-cpu
  • sentence-transformers

Best Practices

1. Code Organization

   • Follow the established directory structure
   • Use appropriate subdirectories
   • Maintain consistent naming

2. Documentation

   • Include detailed README files
   • Document dependencies
   • Provide usage examples

3. Testing

   • Write comprehensive tests
   • Include test data
   • Document test requirements

4. Error Handling

   • Implement proper error handling
   • Include logging
   • Provide meaningful error messages

5. Performance

   • Optimize resource usage
   • Implement caching
   • Monitor performance

Contributing

1. Fork the repository
2. Create a feature branch
3. Add your example
4. Write tests
5. Update documentation
6. Submit a pull request

Support

For issues and questions:

1. Check the documentation
2. Open an issue on GitHub
3. Contact support@multimind.dev