Semantic Kernel
An open-source AI orchestration framework by Microsoft.
Overview
Semantic Kernel is an open-source AI orchestration framework by Microsoft that helps developers integrate large language models (LLMs) like OpenAI's GPT with traditional programming languages. It provides tools for memory and context handling, embeddings and vector search, and multi-modal support, making it suitable for building a wide range of AI-powered applications, including those that use Retrieval-Augmented Generation (RAG).
✨ Key Features
- Memory & context handling
- Embeddings & vector search
- Multi-modal support
🎯 Key Differentiators
- Integration with the Microsoft ecosystem
- Strong support for traditional programming languages
Unique Value: Semantic Kernel provides a robust and flexible framework for integrating large language models with conventional programming, backed by the power and ecosystem of Microsoft.
🎯 Use Cases (3)
🏆 Alternatives
NA
💻 Platforms
🔌 Integrations
💰 Pricing
Free tier: Semantic Kernel is open-source and free to use.
🔄 Similar Tools in LLM Orchestration Tools
Vellum
An AI development platform offering tools for prompt engineering, workflow creation, and evaluation ...
SuperAGI
An open-source framework for building, managing, and running autonomous AI agents with a focus on de...
FlowiseAI
An open-source UI visual tool for developers to build customized LLM orchestration flows and AI agen...
LangChain
An open-source framework that provides tools and components to build applications with large languag...
LlamaIndex
An open-source framework for connecting custom data sources to large language models....
AutoGen
An open-source framework from Microsoft for developing LLM applications using multiple collaborating...