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draft of the REST RAG quickstart doc
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articles/search/includes/quickstarts/search-get-started-rag-python.md

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- [Enable semantic ranking](../../semantic-how-to-enable-disable.md).
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- [Visual Studio Code](https://code.visualstudio.com/download) with the [Python extension](https://marketplace.visualstudio.com/items?itemName=ms-python.python) and the [Jupyter package](https://pypi.org/project/jupyter/). For more information, see [Python in Visual Studio Code](https://code.visualstudio.com/docs/languages/python).
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## Download file
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[Download a Jupyter notebook](https://github.com/Azure-Samples/azure-search-python-samples/tree/main/Quickstart-RAG) from GitHub to send the requests in this quickstart. For more information, see [Downloading files from GitHub](https://docs.github.com/get-started/start-your-journey/downloading-files-from-github).
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It can take several minutes for permissions to take effect.
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## Create an index
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## Update the hotels-sample-index
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A search index provides grounding data for the chat model. We recommend the hotels-sample-index, which can be created in minutes and runs on any search service tier. This index is created using built-in sample data.
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