Introduction to Semantic Kernel
Semantic Kernel is a lightweight, open-source development kit for building AI agents and integrating AI models into your C#, Python, or Java codebase. It serves as an efficient middleware that enables rapid delivery of enterprise-grade solutions.
Key Features:
- Cross-Platform Support: Version 1.0+ support across C#, Python, and Java.
- Enterprise-Ready: Flexible, modular, and observable with telemetry support, hooks, and filters for responsible AI solutions at scale.
- Future-Proof Design: Easily connects your code to the latest AI models, allowing you to swap them out without rewriting your entire codebase.
- Business Process Automation: Combines prompts with existing APIs to perform actions, translating model requests to function calls.
- Modular and Extensible: Integrates AI services through out-of-the-box connectors and uses OpenAPI specifications for sharing extensions.
Use Cases:
- Automating business processes by connecting AI models to existing code.
- Building AI agents that can perform actions by calling functions.
- Integrating chat-based APIs and expanding them to support additional modalities like voice and video.
- Developing enterprise-grade AI solutions with security and observability features.
