Semantic Kernel

소개

Semantic Kernel is an enterprise-ready, model-agnostic SDK designed to simplify the integration of cutting-edge LLM technology into applications. It provides a robust orchestration framework for building and deploying intelligent AI agents and complex multi-agent systems, from simple chatbots to sophisticated workflows. With support for various LLMs, a flexible plugin ecosystem, and integrations with vector databases, it offers the tools needed for reliable and scalable AI development.

주요 기능

• Model-agnostic SDK with built-in support for multiple LLM providers (OpenAI, Azure OpenAI, Hugging Face, NVidia)
• Orchestration framework for creating and managing complex multi-agent systems
• Seamless integration with various vector databases including Azure AI Search, Elasticsearch, and Chroma
• Agent framework for building modular AI agents with tools/plugins, memory, and planning capabilities
• Extensible plugin ecosystem with support for native code functions, prompt templates, and OpenAPI specs
• 24,970 GitHub stars

사용 사례

• Developing complex multi-agent systems for specialized tasks and workflows
• Building intelligent chatbots and conversational AI applications
• Integrating advanced LLM capabilities and AI agents into existing enterprise applications