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articles/postgresql/flexible-server/generative-ai-azure-openai.md

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title: Generate vector embeddings with Azure OpenAI
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description: Use vector indexes and Azure Open AI embeddings in PostgreSQL for retrieval augmented generation (RAG) patterns.
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description: Use vector indexes and Azure OpenAI embeddings in PostgreSQL for retrieval augmented generation (RAG) patterns.
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author: mulander
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ms.author: adamwolk
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ms.reviewer: maghan
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## Prerequisites
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1. [Enable and configure](generative-ai-azure-overview.md#enable-the-azure_ai-extension) the `azure_ai` extension.
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1. Create an Open AI account and [request access to Azure OpenAI Service](https://aka.ms/oai/access).
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1. Create an OpenAI account and [request access to Azure OpenAI Service](https://aka.ms/oai/access).
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1. Grant Access to Azure OpenAI in the desired subscription.
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1. Grant permissions to [create Azure OpenAI resources and to deploy models](../../ai-services/openai/how-to/role-based-access-control.md).
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1. [Create and deploy an Azure OpenAI service resource and a model](../../ai-services/openai/how-to/create-resource.md), for example deploy the embeddings model [text-embedding-ada-002](../../ai-services/openai/concepts/models.md#embeddings-models). Copy the deployment name as it is needed to create embeddings.

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