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Copy file name to clipboardExpand all lines: articles/machine-learning/how-to-retrieval-augmented-generation-cloud-to-local.md
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@@ -29,14 +29,14 @@ In this article, you learn how to transition RAG flows from your Azure Machine L
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- Python 3.9 or above installed locally.
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- The `promptflow` SDK and `promptflow-tools` packages installed by running`pip install promptflow promptflow-tools`.
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- The `promptflow-vectordb` tool installed by running`pip install promptflow-vectordb[azure]`.
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- The `promptflow` SDK and `promptflow-tools` packages installed by running<br>`pip install promptflow promptflow-tools`.
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- The `promptflow-vectordb` tool installed by running<br>`pip install promptflow-vectordb`.
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- Visual Studio Code with the **Python** and **Prompt flow** extensions installed.
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:::image type="content" source="./media/how-to-retrieval-augmented-generation-cloud-to-local/vs-code-extension.png" alt-text="Screenshot of the prompt flow VS Code extension in the marketplace.":::
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- An [Azure OpenAI account resource](/azure/ai-services/openai/how-to/create-resource#create-a-resource) that has [deployed models](/azure/ai-services/openai/how-to/create-resource#deploy-a-model) for both **chat** and **text-embedding-ada**.
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- An [Azure OpenAI account resource](/azure/ai-services/openai/how-to/create-resource#create-a-resource) that has [model deployments](/azure/ai-services/openai/how-to/create-resource#deploy-a-model) for both **chat** and **text-embedding-ada**.
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- A [vector index created](how-to-create-vector-index.md) in Azure Machine Learning studio for the example prompt flow to use.
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@@ -80,7 +80,7 @@ The rest of this article details how to use the VS Code Prompt flow extension to
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:::image type="content" source="./media/how-to-retrieval-augmented-generation-cloud-to-local/vs-code-extension-toolbar.png" alt-text="Screenshot of the prompt flow VS Code extension icon in the VS Code left menu.":::
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1. If necessary, select **Install dependencies** and make sure the correct Python interpreter is selected and the **promptflow** and **promptflow-tools** packages are installed.
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1. If necessary, select **Install dependencies** and make sure the correct Python interpreter is selected, and the `promptflow` and `promptflow-tools` packages are installed.
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### Create the connections
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-[Get started with prompt flow](prompt-flow/get-started-prompt-flow.md)
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-[Create a vector index in an Azure Machine Learning prompt flow (preview)](how-to-create-vector-index.md)
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-[Index Lookup tool for Azure AI Studio](/azure/ai-studio/how-to/prompt-flow-tools/index-lookup-tool)
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-[Use Index Lookup tool for Azure AI Studio](/azure/ai-studio/how-to/prompt-flow-tools/index-lookup-tool)
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-[Integrate prompt flow with LLM-based application DevOps](prompt-flow/how-to-integrate-with-llm-app-devops.md)
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