Technology
Semantic Kernel
Semantic Kernel (SK) is Microsoft's open-source SDK: it efficiently orchestrates large language models (LLMs) with your existing C#, Python, or Java code via a modular plugin system.
SK is a model-agnostic, open-source development kit from Microsoft, designed to build and deploy enterprise-grade AI agents. The central 'kernel' acts as a dependency injection container, managing all services and plugins (native code or API calls) for the AI. It provides the crucial orchestration layer, allowing LLMs (OpenAI, Azure OpenAI, etc.) to call your existing business logic, not just generate text. SK supports C#, Python, and Java, enabling developers to integrate AI capabilities, manage conversational memory, and ensure responsible AI through built-in telemetry and hooks.
What builders pair with Semantic Kernel
Projects using both technologies. Select a pairing to see a project.
1 more pairings
Pairing: Azure
GPT-RAG Template using Semantic Kernel and Load Testing
Pairing: Azure AI Search
Agentic RAG using .NET, Azure AI Search and Semantic Kernel (Part 1)
Pairing: Azure OpenAI
Agentic RAG using .NET, Azure AI Search and Semantic Kernel (Part 1)
Pairing: GPT-RAG
GPT-RAG Template using Semantic Kernel and Load Testing
Pairing: Load Testing
GPT-RAG Template using Semantic Kernel and Load Testing
Pairing: OpenAI API
Agentic RAG using .NET, Azure AI Search and Semantic Kernel (Part 1)
Recent Talks & Demos
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