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Update how-to-use-pgvector.md
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articles/postgresql/flexible-server/how-to-use-pgvector.md

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title: Vector search on Azure Database for PostgreSQL
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description: Enable semantic simiolarity search for Retrieval Augemented Generation (RAG) on Azure Database for PostgreSQL with pgvector database extension.
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description: Enable semantic similarity search for Retrieval Augmented Generation (RAG) on Azure Database for PostgreSQL with pgvector database extension.
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author: AvijitkGupta
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ms.author: avijitgupta
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ms.reviewer: kabharati, maghan
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- ignite-2023
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# How to enable and use `pgvector` on Azure Database for PostgreSQL - Flexible Server
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# How to enable and use pgvector on Azure Database for PostgreSQL - Flexible Server
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[!INCLUDE [applies-to-postgresql-flexible-server](~/reusable-content/ce-skilling/azure/includes/postgresql/includes/applies-to-postgresql-flexible-server.md)]
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Before you can enable `pgvector` on your Azure Database for PostgreSQL flexible server instance, you need to add it to your allowlist as described in [how to use PostgreSQL extensions](./concepts-extensions.md#how-to-use-postgresql-extensions) and check if correctly added by running `SHOW azure.extensions;`.
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> [!IMPORTANT]
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> Notice that although all PostgreSQL community tends to refer to this extension as pgvector, the name of the binary and the extension itself is simply `vector`. Take that into consideration, because that is the name you must use to allowlist it or to create it on any database via the CREATE EXTENSION command.
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Then you can install the extension, by connecting to your target database and running the [CREATE EXTENSION](https://www.postgresql.org/docs/current/static/sql-createextension.html) command. You need to repeat the command separately for every database you want the extension to be available in.
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```sql

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