chore: import upstream snapshot with attribution
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## Azure AI Agents
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For details on using Azure AI Agents within Semantic Kernel, see the [README](../../../getting_started_with_agents/azure_ai_agent/README.md) in the `getting_started_with_agents/azure_ai_agent` directory.
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### Running the `azure_ai_agent_ai_search.py` Sample
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Before running this sample, ensure you have a valid index configured in your Azure AI Search resource. This sample queries hotel data using the sample Azure AI Search hotels index.
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For configuration details, refer to the comments in the sample script. For additional guidance, consult the [README](../../memory/azure_ai_search_hotel_samples/README.md), which provides step-by-step instructions for creating the sample index and generating vectors. This is one approach to setting up the index; you can also follow other tutorials, such as those on "Import and Vectorize Data" in your Azure AI Search resource.
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### Requests and Rate Limits
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For information on configuring rate limits or adjusting polling, refer [here](../../../getting_started_with_agents/azure_ai_agent/README.md#requests-and-rate-limits)
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