Microsoft Semantic Kernel
Microsoft's open-source SDK for integrating LLMs into .NET, Python and Java applications.
Semantic Kernel is Microsoft's open-source SDK for orchestrating language models inside existing code: the kernel loads plugins (native functions or prompts), exposes them to the model through automatic function calling, and manages connectors (Azure OpenAI, OpenAI, Hugging Face, Ollama) and vector stores. Its agent framework adds conversational agents, filters and OpenTelemetry telemetry. It's our choice when a .NET or Azure IT department wants to industrialize generative AI under its own security and observability standards.
What Microsoft Semantic Kernel brings to your project.
Typical use cases: Business copilots on Azure, internal process automation, assistants embedded in .NET applications.
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C#, Python and Java SDKs: AI inside existing business code.
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Plugins and automatic function calling: the model invokes your functions.
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Connectors for Azure OpenAI, OpenAI, Hugging Face, Ollama and vector stores.
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Filters, OpenTelemetry telemetry and Microsoft backing: ready for the enterprise.
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