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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -25,7 +25,7 @@ Semantic Kernel is a model-agnostic SDK that empowers developers to build, orche
- **Agent Framework**: Build modular AI agents with access to tools/plugins, memory, and planning capabilities
- **Multi-Agent Systems**: Orchestrate complex workflows with collaborating specialist agents
- **Plugin Ecosystem**: Extend with native code functions, prompt templates, OpenAPI specs, or Model Context Protocol (MCP)
- **Vector DB Support**: Seamless integration with [Azure AI Search](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search), [Elasticsearch](https://www.elastic.co/), [Chroma](https://docs.trychroma.com/getting-started), and more
- **Vector DB Support**: Seamless integration with [Azure AI Search](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search), [Elasticsearch](https://www.elastic.co/), [Chroma](https://docs.trychroma.com/docs/overview/getting-started), and more
- **Multimodal Support**: Process text, vision, and audio inputs
- **Local Deployment**: Run with [Ollama](https://ollama.com/), [LMStudio](https://lmstudio.ai/), or [ONNX](https://onnx.ai/)
- **Process Framework**: Model complex business processes with a structured workflow approach
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