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 [Microsoft Fabric](https://learn.microsoft.com/en-us/fabric/get-started/microsoft-fabric-overview) is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. It offers a comprehensive suite of services, including data lake, data engineering, and data integration, all in one place. In this notenook, we give a simple example for using AutoGen in Microsoft Fabric.
 
 - [Microsoft Fabric + AutoGen Code Examples](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_microsoft_fabric.ipynb)
+
+## Ollama + AutoGen
+
+![Ollama Example](img/ecosystem-ollama.png)
+
+[Ollama](https://ollama.com/) allows the users to run open-source large language models, such as Llama 2, locally. Ollama bundles model weights, configuration, and data into a single package, defined by a Modelfile. It optimizes setup and configuration details, including GPU usage.
+
+- [Ollama + AutoGen instruction](https://ollama.ai/blog/openai-compatibility)
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