Semantic Kernel — Integrate LLMs into Apps

Semantic Kernel is an open-source SDK for integrating AI models into enterprise software for developers and businesses.

Semantic Kernel is a Microsoft SDK that integrates Large Language Models like OpenAI and Azure OpenAI into existing enterprise applications. It is designed for software developers and business owners who need to bridge the gap between traditional programming languages and the probabilistic nature of AI. By using this framework, teams can orchestrate complex AI workflows through a structured system of kernels, planners, and plugins. The framework allows your development team to write code in C#, Python, or Java while leveraging built-in connectors for vector databases and memory. Semantic Kernel enables the creation of intelligent agents that can execute specific business tasks, such as automated customer support routing or data analysis, by understanding natural language commands. Business owners can find more details on how to implement these solutions through resources on surfai.app to ensure their tech stack is future-proof. One of the primary advantages is the ability to swap models or integrate new AI capabilities without rebuilding the entire application architecture. This modular approach reduces long-term maintenance costs and allows for rapid scaling of AI features across a company. The tool also supports prompt engineering management and automatic orchestration, meaning the AI can determine which functions to call to solve a user's request. As an open-source project from Microsoft, the core SDK is free to use and distribute under the MIT license. Companies only pay for the underlying LLM tokens they consume through their chosen providers like Azure or OpenAI.

• Pricing: freemium

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