What is Semantic Kernel?
Semantic Kernel is an open-source SDK developed by Microsoft for integrating large language models with conventional programming, enabling developers to build AI applications that combine the power of LLMs with traditional software engineering practices. It provides abstractions for working with multiple LLM providers, managing prompts as reusable functions, orchestrating complex AI workflows, and integrating with existing codebases and enterprise systems.
The framework introduces concepts like "semantic functions" (LLM prompts packaged as callable functions) and "native functions" (traditional code functions), which can be composed into "skills" and orchestrated into complex workflows. Semantic Kernel emphasizes type safety, testability, and integration with existing development practices. It supports multiple programming languages (C#, Python, Java) with first-class support for .NET ecosystems, making it particularly appealing for enterprise developers building production AI applications.
Semantic Kernel differentiates itself through its focus on enterprise requirements like observability, security, and integration with existing systems. While frameworks like LangChain emphasize breadth of integrations and rapid prototyping, Semantic Kernel prioritizes production-readiness, performance, and alignment with software engineering best practices. It includes features for memory management, planning capabilities for autonomous agents, and integration with Microsoft's AI services, making it a natural choice for organizations invested in the Microsoft ecosystem.