AIML Tutorials Project

Contents

1. Docker
   • Creation of the Docker file
   • Creation of the Docker Compose file
2. Semantic Kernel Tutorials: Microsoft Library for Integrating LLM Models
   • Basics of the Semantic Kernel
   • Ollama Connector
   • Adding Plugins to the Kernel
   • Azure OpenAI Semantic Kernel Connector
   • Image-to-Text Generation using Semantic Kernel
   • Agent Framework: Creating Agents
   • HandDigitRecognition Project using Semantic Kernel as the MoonDream Model for Ollama
   • Vector DB Connector for Semantic Kernel
   • Qdrant Vector DB Connection with the Semantic Kernel
   • Process Framework and Agent Framework.
   • Process Framework with Dapr and Aspire
3. .NET Tutorial
   • Dependency Injection
   • AsyncEnumerable
   • SignalR Tutorial
4. Aspire .NET
   • Adding Aspire to a Project
   • Adding the Container to the Project
   • Adding a Secret Parameter for Configuration
   • Subscribing to Events
   • Aspire Lifecycle Hook
   • Endpoint Reference
   • Setting Environment Variables
   • Aspirate: Creating the Docker Compose File from the Aspire Project
   • Dapr SideCar Initialization
5. Product Classification
   • Classifying the Product Category using the Semantic Kernel (Base) Project
6. Model Context Protocol
   • Creation of the MCP Server using SSE/STDIO in C#
   • Connecting to the MCP Server using C#
   • Integrating MCP Server Tools with the Semantic Kernel

Repository Branches

• OldProductClassification: Base Project for the Product Classification Project
• aspire_integration_productclassification: Integration of Aspire into the Product Classification Project
• backup: Backup Branch for the Product Classification
• dockercompose_integration_productclassification: Integration of Docker Compose into the Product Classification Project
• ollama-model-lifecycle: Downloading the Ollama Model using the Lifecycle method instead of the shell script.
• ollama-models-removed: Removing the Ollama Models from the Product Classification Project
• rag-implementation: Implementation of RAG using the Semantic Kernel in the Product Classifciation
• vectordb_integration: Integration of VectorDB into the Product Classification Project for similarity search.