20250724 update vector product applicability, edit pass

WilliamDAssafMSFT · WilliamDAssafMSFT · commit 45d92cfe849c · 2025-07-24T12:10:33.000-07:00
diff --git a/docs/relational-databases/system-catalog-views/sys-vector-indexes-transact-sql.md b/docs/relational-databases/system-catalog-views/sys-vector-indexes-transact-sql.md
@@ -1,13 +1,13 @@
 ---
 title: "sys.vector_indexes (Transact-SQL)"
 description: "sys.vector_indexes contains a row per vector index."
-author: damauri
-ms.author: damauri
+author: WilliamDAssafMSFT
+ms.author: wiassaf
 ms.reviewer: damauri, pookam
-ms.date: 06/11/2025
-ms.topic: reference
+ms.date: 07/24/2025
 ms.service: sql
 ms.subservice: system-objects
+ms.topic: reference
 f1_keywords:
   - "sys.vector_indexes"
   - "vector_indexes"
@@ -21,45 +21,46 @@ monikerRange: "=sql-server-ver17 || =sql-server-linux-ver17"
 ---
 # sys.vector_indexes (Transact-SQL)
 
-[!INCLUDE [SQL Server 2025](../../includes/applies-to-version/_ss2025.md)]
+[!INCLUDE [SQL Server 2025](../../includes/applies-to-version/sqlserver2025.md)]
+
+The `sys.vector_indexes` system catalog view contains one row per vector index.
 
-Contains a row per vector index.  
-  
 |Column name|Data type|Description|  
 |-----------------|---------------|-----------------|  
-|**object_id**|int|Reference to sys.indexes|  
-|**index_id**|int|Reference to sys.indexes|  
-|**metric**|varchar(20)|Type of vector index (DiskANN only for now)|
-|**type_desc**|varchar(20)|Metric used to create the vector index|
-|**build_parameters**|nvarchar(max)|Internal usage only|
+|`object_id`|**int**|Reference to `sys.indexes`.|
+|`index_id`|**int**|Reference to `sys.indexes`.|
+|`metric`|**varchar(20)**|Type of vector index (Currently, DiskANN only).|
+|`type_desc`|**varchar(20)**|Metric used to create the vector index.|
+|`build_parameters`|**nvarchar(max)**|Internal usage only.|
 
+## Permissions
 
-## Permissions  
+[!INCLUDE[ssCatViewPerm](../../includes/sscatviewperm-md.md)] For more information, see [Metadata Visibility Configuration](../security/metadata-visibility-configuration.md).  
 
-[!INCLUDE[ssCatViewPerm](../../includes/sscatviewperm-md.md)] For more information, see [Metadata Visibility Configuration](../../relational-databases/security/metadata-visibility-configuration.md).  
-  
-## Examples  
+## Examples
 
 The following example returns all indexes for the table `[dbo].[[wikipedia_articles_embeddings]` used in the [DiskANN sample](https://github.com/Azure-Samples/azure-sql-db-vector-search/tree/main/DiskANN/Wikipedia) available in the [https://github.com/Azure-Samples/azure-sql-db-vector-search](https://github.com/Azure-Samples/azure-sql-db-vector-search) GitHub sample repo.  
-  
+
 ```sql  
-select 
-	vi.obj_id,
-	vi.index_id,
-	vi.index_type,
-	vi.dist_metric,
-	vi.build_parameters
-from 
-	sys.indexes i 
-inner join
-	sys.vector_indexes as vi on vi.obj_id = i.object_id and vi.index_id = i.index_id
-where 
-	obj_id = object_id('[dbo].[wikipedia_articles_embeddings]')
+SELECT
+    vi.obj_id,
+    vi.index_id,
+    vi.index_type,
+    vi.dist_metric,
+    vi.build_parameters
+FROM
+    sys.indexes AS i 
+INNER JOIN 
+    sys.vector_indexes AS vi 
+    ON vi.obj_id = i.object_id 
+    AND vi.index_id = i.index_id
+WHERE
+    obj_id = object_id('[dbo].[wikipedia_articles_embeddings]');
 ```  
-  
-## Next steps
 
-[Object Catalog Views (Transact-SQL)](../../relational-databases/system-catalog-views/object-catalog-views-transact-sql.md)   
-[Catalog Views (Transact-SQL)](../../relational-databases/system-catalog-views/catalog-views-transact-sql.md)   
-[sys.indexes (Transact-SQL)](../../relational-databases/system-catalog-views/sys-indexes-transact-sql.md)   
-[CREATE VECTOR INDEX (Transact-SQL)](../../t-sql/statements/create-vector-index-transact-sql.md)
+## Related content
+
+- [Object catalog views (Transact-SQL)](object-catalog-views-transact-sql.md)
+- [System catalog views (Transact-SQL)](catalog-views-transact-sql.md)
+- [sys.indexes (Transact-SQL)](sys-indexes-transact-sql.md)
+- [CREATE VECTOR INDEX (Transact-SQL)](../../t-sql/statements/create-vector-index-transact-sql.md)
diff --git a/docs/relational-databases/vectors/vectors-sql-server.md b/docs/relational-databases/vectors/vectors-sql-server.md
@@ -26,7 +26,8 @@ Vectors are ordered arrays of numbers (typically floats) that can represent info
 
 > [!NOTE]
 > - Vector support in preview and is subject to change. Make sure to read preview usage terms in [Service Level Agreements (SLA) for Online Services](https://www.microsoft.com/licensing/docs/view/Service-Level-Agreements-SLA-for-Online-Services). 
-> - Vector features are available in Azure SQL Managed Instance configured with the [Always-up-to-date](/azure/azure-sql/managed-instance/update-policy#always-up-to-date-update-policy) policy. 
+
+Vector features are available in Azure SQL Managed Instance configured with the [Always-up-to-date](/azure/azure-sql/managed-instance/update-policy#always-up-to-date-update-policy) policy. 
 
 ## Embeddings
 
diff --git a/docs/t-sql/functions/vector-norm-transact-sql.md b/docs/t-sql/functions/vector-norm-transact-sql.md
@@ -4,11 +4,15 @@ description: "VECTOR_NORM takes a vector as an input and returns the norm of the
 author: WilliamDAssafMSFT
 ms.author: wiassaf
 ms.reviewer: damauri, pookam
-ms.date: 02/18/2025
-ms.update-cycle: 180-days
+ms.date: 07/24/2025
 ms.service: sql
 ms.subservice: t-sql
 ms.topic: reference
+ms.collection:
+  - ce-skilling-ai-copilot
+ms.update-cycle: 180-days
+ms.custom:
+  - build-2025
 f1_keywords:
   - "VECTOR_NORM"
   - "VECTOR_NORM_TSQL"
@@ -17,32 +21,31 @@ helpviewer_keywords:
   - "vector, norm calculation"
 dev_langs:
   - "TSQL"
-monikerRange: "= azuresqldb-current"
-ms.collection: ce-skilling-ai-copilot
-ms.custom:
-  - build-2025
+monikerRange: "=sql-server-ver17 || =sql-server-linux-ver17 || =azuresqldb-current || =azuresqldb-mi-current || =fabric"
 ---
 # VECTOR_NORM (Transact-SQL) (Preview)
 
-[!INCLUDE [Azure SQL Database](../../includes/applies-to-version/asdb.md)]
+[!INCLUDE [sqlserver2025-asdb-asmi-fabricsqldb](../../includes/applies-to-version/sqlserver2025-asdb-asmi-fabricsqldb.md)]
 
-> [!NOTE]
-> This data type is in preview and is subject to change. Make sure to read preview usage terms in the [Service Level Agreements (SLA) for Online Services](https://www.microsoft.com/licensing/docs/view/Service-Level-Agreements-SLA-for-Online-Services) document.
-
-Takes a vector as an input and returns the norm of the vector (which is a measure of its length or magnitude) in a given [norm type](https://mathworld.wolfram.com/VectorNorm.html).
+Use `VECTOR_NORM` to take a vector as an input and return the norm of the vector (which is a measure of its length or magnitude) in a given [norm type](https://mathworld.wolfram.com/VectorNorm.html).
 
 For example, if you want to calculate the Euclidean norm (which is the most common norm type), you can use:
 
 ```sql
 SELECT VECTOR_NORM ( vector, 'norm2' )
 FROM ...
 ```
-  
-## Syntax  
-  
+
+> [!NOTE]
+> This data type is in preview and is subject to change. Make sure to read preview usage terms in the [Service Level Agreements (SLA) for Online Services](https://www.microsoft.com/licensing/docs/view/Service-Level-Agreements-SLA-for-Online-Services) document.
+
+`VECTOR_NORM` is available in Azure SQL Managed Instance configured with the [Always-up-to-date](/azure/azure-sql/managed-instance/update-policy#always-up-to-date-update-policy) update policy.
+
+## Syntax
+
 :::image type="icon" source="../../includes/media/topic-link-icon.svg" border="false"::: [Transact-SQL syntax conventions](../../t-sql/language-elements/transact-sql-syntax-conventions-transact-sql.md)  
 
-```syntaxsql  
+```syntaxsql
 VECTOR_NORM ( vector, norm_type )
 ```
 
@@ -64,7 +67,7 @@ A string with the name of the norm type to use to calculate the norm of the give
 
 The function returns a **float** value that represents the norm of the vector using the specified norm type.
 
-An error is returned if *norm_type* isn't a valid norm type and if the vector is not of the [vector data type](../../t-sql/data-types/vector-data-type.md).
+An error is returned if *norm_type* isn't a valid norm type and if the vector is not of the [vector data type](../data-types/vector-data-type.md).
 
 ## Examples
 
diff --git a/docs/t-sql/functions/vector-normalize-transact-sql.md b/docs/t-sql/functions/vector-normalize-transact-sql.md
@@ -4,11 +4,13 @@ description: "VECTOR_NORMALIZE takes a vector as an input and returns the normal
 author: WilliamDAssafMSFT
 ms.author: wiassaf
 ms.reviewer: damauri, pookam
-ms.date: 02/18/2025
-ms.update-cycle: 180-days
+ms.date: 07/24/2025
 ms.service: sql
 ms.subservice: t-sql
 ms.topic: reference
+ms.collection:
+  - ce-skilling-ai-copilot
+ms.update-cycle: 180-days
 f1_keywords:
   - "VECTOR_NORMALIZE"
   - "VECTOR_NORMALIZE_TSQL"
@@ -17,17 +19,13 @@ helpviewer_keywords:
   - "vector, normalize calculation"
 dev_langs:
   - "TSQL"
-monikerRange: "= azuresqldb-current"
-ms.collection: ce-skilling-ai-copilot
+monikerRange: "=sql-server-ver17 || =sql-server-linux-ver17 || =azuresqldb-current || =azuresqldb-mi-current || =fabric"
 ---
 # VECTOR_NORMALIZE (Transact-SQL) (Preview)
 
-[!INCLUDE [Azure SQL Database](../../includes/applies-to-version/asdb-asdbmi.md)]
+[!INCLUDE [sqlserver2025-asdb-asmi-fabricsqldb](../../includes/applies-to-version/sqlserver2025-asdb-asmi-fabricsqldb.md)]
 
-> [!NOTE]
-> This data type is in preview and is subject to change. Make sure to read preview usage terms in the [Service Level Agreements (SLA) for Online Services](https://www.microsoft.com/licensing/docs/view/Service-Level-Agreements-SLA-for-Online-Services) document.
-
-`VECTOR_NORMALIZE` takes a vector as an input and returns the normalized vector, which is a vector scaled to have a length of 1 in a given [norm type](https://mathworld.wolfram.com/VectorNorm.html).
+Use `VECTOR_NORMALIZE` to take a vector as an input and return the normalized vector, which is a vector scaled to have a length of 1 in a given [norm type](https://mathworld.wolfram.com/VectorNorm.html).
 
 This standardization is crucial in various artificial intelligence applications where vectors represent different forms of data, such as visual content, textual information, or audio signals. By normalizing vectors, we ensure uniformity in their scale, which is particularly useful for operations that rely on measuring vector distances or for grouping and distinguishing data points.
 
@@ -46,7 +44,8 @@ FROM ...
 
 > [!NOTE]  
 > - This function is in preview and is subject to change. Make sure to read preview usage terms in [Service Level Agreements (SLA) for Online Services](https://www.microsoft.com/licensing/docs/view/Service-Level-Agreements-SLA-for-Online-Services).
-> - `VECTOR_NORMALIZE` is available in Azure SQL Managed Instance configured with the [Always-up-to-date](/azure/azure-sql/managed-instance/update-policy#always-up-to-date-update-policy) update policy.
+
+`VECTOR_NORMALIZE` is available in Azure SQL Managed Instance configured with the [Always-up-to-date](/azure/azure-sql/managed-instance/update-policy#always-up-to-date-update-policy) update policy.
 
 ## Syntax
 
@@ -76,7 +75,7 @@ The result is a vector with the same direction as the input vector but with a le
 
 If the input is `NULL`, the returned result will also be `NULL`.
 
-An error is returned if *norm_type* isn't a valid norm type and if the *vector* is not of the [vector](../../t-sql/data-types/vector-data-type.md) data type.
+An error is returned if *norm_type* isn't a valid norm type and if the *vector* is not of the [vector](../data-types/vector-data-type.md) data type.
 
 ## Examples
 
@@ -108,6 +107,6 @@ SELECT VECTOR_NORMALIZE(@v, 'norm1'), VECTOR_NORMALIZE(@v, 'norminf');
 
 ## Related content
 
-- [Vector functions (Transact SQL)](../..//t-sql/functions/vector-functions-transact-sql.md)
-- [Vector data type](../../t-sql/data-types/vector-data-type.md)
+- [Vector functions (preview)](vector-functions-transact-sql.md)
+- [Vector data type](../data-types/vector-data-type.md)
 - [Intelligent applications with Azure SQL Database](/azure/azure-sql/database/ai-artificial-intelligence-intelligent-applications)
diff --git a/docs/t-sql/functions/vector-search-transact-sql.md b/docs/t-sql/functions/vector-search-transact-sql.md
@@ -4,10 +4,12 @@ description: "VECTOR_SEARCH search for vectors similar to a given query vectors
 author: WilliamDAssafMSFT
 ms.author: wiassaf
 ms.reviewer: damauri
-ms.date: 05/01/2025
+ms.date: 07/24/2025
 ms.service: sql
 ms.subservice: t-sql
 ms.topic: reference
+ms.custom:
+  - build-2025
 f1_keywords:
   - "VECTOR_SEARCH"
   - "VECTOR_SEARCH_TSQL"
@@ -16,20 +18,16 @@ helpviewer_keywords:
   - "vector, search"
 dev_langs:
   - "TSQL"
-monikerRange: "=sql-server-ver17 || =sql-server-linux-ver17"
-ms.custom:
-  - build-2025
+monikerRange: "=sql-server-ver17 || =sql-server-linux-ver17  || =azuresqldb-mi-current "
 ---
 
 # VECTOR_SEARCH (Transact-SQL) (Preview)
 
-[!INCLUDE [sqlserver2025-asdb-asmi-fabricsqldb](../../includes/applies-to-version/sqlserver2025-asdb-asmi-fabricsqldb.md)]
-
-Search for vectors similar to a given query vectors using an approximate nearest neighbors vector search algorithm. To learn more about how vector indexing and vector search works, and the differences between exact and approximate search, refer to [Vectors in the SQL Database Engine](../../relational-databases/vectors/vectors-sql-server.md).
+[!INCLUDE [sqlserver2025-asmi](../../includes/applies-to-version/sqlserver2025-asmi.md)]
 
-> [!NOTE]
-> `VECTOR_SEARCH` is available in Azure SQL Managed Instance configured with the [Always-up-to-date](/azure/azure-sql/managed-instance/update-policy#always-up-to-date-update-policy) update policy.
+Use `VECTOR_SEARCH` to search for vectors similar to a given query vectors using an approximate nearest neighbors vector search algorithm. To learn more about how vector indexing and vector search works, and the differences between exact and approximate search, refer to [Overview of vector search and vector indexes in the SQL Database Engine](../../relational-databases/vectors/vectors-sql-server.md).
 
+`VECTOR_SEARCH` is available in Azure SQL Managed Instance configured with the [Always-up-to-date](/azure/azure-sql/managed-instance/update-policy#always-up-to-date-update-policy) update policy.
 
 ## Preview feature
 
@@ -181,7 +179,7 @@ ORDER BY
 
 ### Example 3
 
-A basic end-to-end example using `CREATE VECTOR INDEX` and the related `VECTOR_SEARCH` function. The embeddings are mocked. In a real world scenario, embeddings are generated using an embedding model and [AI_GENERATE_EMBEDDINGS](../functions/ai-generate-embeddings-transact-sql.md), or an external library such as [OpenAI SDK](https://github.com/openai/openai-dotnet?tab=readme-ov-file#how-to-generate-text-embeddings).
+A basic end-to-end example using `CREATE VECTOR INDEX` and the related `VECTOR_SEARCH` function. The embeddings are mocked. In a real world scenario, embeddings are generated using an embedding model and [AI_GENERATE_EMBEDDINGS](ai-generate-embeddings-transact-sql.md), or an external library such as [OpenAI SDK](https://github.com/openai/openai-dotnet?tab=readme-ov-file#how-to-generate-text-embeddings).
 
 The following code block demonstrates the `VECTOR_SEARCH` function with mock embeddings:
 
@@ -238,7 +236,7 @@ ORDER BY s.distance, t.title;
 
 ## Related content
 
-- [Overview of vectors in the SQL Database Engine](../../relational-databases/vectors/vectors-sql-server.md)
+- [Overview of vector search and vector indexes in the SQL Database Engine](../../relational-databases/vectors/vectors-sql-server.md)
 - [Vector data type](../data-types/vector-data-type.md)
 - [CREATE VECTOR INDEX (Transact-SQL)](../statements/create-vector-index-transact-sql.md)
 - [Azure SQL Database Vector Search Samples](https://github.com/Azure-Samples/azure-sql-db-vector-search)
