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@@ -25,6 +25,16 @@ For full details on this stored procedure, please take a look at the official do
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Samples are made available via Jupyter Notebook, natively supported by GitHub and also by [Azure Data Studio](https://learn.microsoft.com/en-us/sql/azure-data-studio/notebooks/notebooks-guidance)
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### Azure OpenAI
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These samples and workshops show how you can call Azure OpenAI to get text embeddings and then find similar text using cosine similarity.
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[Vector similarity search with Azure SQL & Azure OpenAI](https://github.com/azure-samples/azure-sql-db-openai)
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[Build new AI applications with Azure SQL Database](https://github.com/Azure-Samples/sql-ai-embeddings-workshop)
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[Use Azure SQL DB and REST endpoints to enable AI content moderation](https://github.com/AzureSQLDB/ContentSafetyLab)
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### [Azure Functions](./azure-functions.ipynb)
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In the provided notebook you can find samples on how to invoke an [Azure Function](https://learn.microsoft.com/azure/azure-functions/functions-overview) using a [HTTP Trigger](https://learn.microsoft.com/azure/azure-functions/functions-bindings-http-webhook-trigger):
@@ -40,14 +50,6 @@ The notebook contains samples on how to send messages to [Azure Event Hubs](http
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