AI Semantic Kernel Tutorial

This repository demonstrates the use of Microsoft Semantic Kernel for various AI-powered tasks.

Projects

• Semantic Kernel Sample: Demonstrates text summarization, translation, mathematical operations, and anomaly detection.
• Advanced Sample: Includes file and folder operations, and integration with Azure OpenAI and Ollama models.
• Simple API Call: Shows how to make API calls to Azure OpenAI services.
• Local SK: Uses Semantic Kernel with local models like Ollama.

Plugins

• SamplePlugin: Simplifies abstracts, translates text, extracts mathematical operations, counts words, and detects anomalies.
• NativePlugIns: Provides date/time operations, string manipulations, and mathematical operations.
• AdvancedSample Plugins: Handles file and folder operations.

Getting Started

1. Clone the repository.
2. Set up environment variables in launchSettings.json.
3. Build and run the projects using .vscode/tasks.json.

Dependencies

• Microsoft.SemanticKernel
• Microsoft.SemanticKernel.Connectors.AI.OpenAI
• Microsoft.SemanticKernel.Connectors.Ollama
• Microsoft.SemanticKernel.Planners.Handlebars
• Microsoft.SemanticKernel.Planners.OpenAI
• Tiktoken
• Azure.AI.OpenAI
• DotNetEnv

License

Licensed under the MIT License.