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09_Vector_Search_Cosmos_DB/README.md

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## Lab - Use vector search on embeddings in Azure Cosmos DB for NoSQL
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In this lab, a notebook demonstrates how to add an embedding field to a document, create a vector search index, and perform a vector search query. The notebook ends with a demonstration of utilizing vector search with an LLM in a RAG scenario using Azure OpenAI.
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In this lab, a notebook demonstrates how to add an embedding field to a document, create a container capable of vector search, and perform a vector search query. The notebook ends with a demonstration of utilizing vector search with an LLM in a RAG scenario using Azure OpenAI.
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This lab requires the Azure OpenAI endpoint and access key to be added to the settings (`.env`) file. Access this information by opening [Azure OpenAI Studio](https://oai.azure.com/portal) and selecting the **Gear**/Settings icon located to the right in the top toolbar.
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11_Backend_API/README.md

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>**Note**: It is highly recommended to use a [virtual environment](https://python.land/virtual-environments/virtualenv) for all labs.
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Please visit the lab repository to complete [this lab](../Labs/lab_4_langchain.ipynb).
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Please visit the lab repository to complete [this lab](../Labs/lab_5_backend_api.md).

Labs/lab_5_backend_api.md

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az containerapp up --name <container app name> --image <login server>/devguidebackendapi:v1 --resource-group <resource group name> --environment <container app environment name> --ingress external
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```
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![The console output of the container app up command displays with the endpoint highlighted.](media/container_deploy.png)
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9. In the Azure Portal, locate and open the **Container App** resource ending in `-api`.
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10. From the left menu, expand the **Application** section and select **Revisions and replicas**. Notice screen, there is a failed container revision (may need to select **Refresh** from the top toolbar menu). This is because the `hello-world` container is running at the same binding address as the backend api container.
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Labs/media/container_app_ready.png

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Labs/media/container_deploy.png

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