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Copy file name to clipboardExpand all lines: articles/search/vector-search-index-size.md
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@@ -30,12 +30,7 @@ For each vector field, Azure AI Search constructs an internal vector index using
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+ Vector indexes are also subject to disk quota, in the sense that all indexes are subject disk quota. There's no separate disk quota for vector indexes.
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+ Vector quotas are enforced on the search service as a whole, per partition, meaning that if you add partitions, vector quota goes up. Per-partition vector quotas are higher on newer services:
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+[Vector quota for services created after May 17, 2024](search-limits-quotas-capacity.md#vector-limits-on-services-created-after-may-17-2024)
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+[Vector quota for services between April 3, 2024 and May 17, 2024](search-limits-quotas-capacity.md#vector-limits-on-services-created-between-april-3-2024-and-may-17-2024)
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+[Vector quota for services created between July 1, 2023 and April 3, 2024](search-limits-quotas-capacity.md#vector-limits-on-services-created-between-july-1-2023-and-april-3-2024)
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+[Vector quota for services created before July 1, 2023](search-limits-quotas-capacity.md#vector-limits-on-services-created-before-july-1-2023)
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+ Vector quotas are enforced on the search service as a whole, per partition, meaning that if you add partitions, vector quota goes up. Per-partition vector quotas are higher on newer services. For more information, see [Vector index size limits](search-limits-quotas-capacity.md#vector-index-size-limits).
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## How to check partition size and quantity
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@@ -63,12 +58,7 @@ Newer services created after April 3, 2024 offer five to ten times more vector s
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:::image type="content" source="media/vector-search-index-size/deployment-details.png" alt-text="Screenshot of the deployment details showing creation date.":::
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1. Now that you know the age of your search service, review the vector quota limits based on service creation:
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+[After May 17, 2024](search-limits-quotas-capacity.md#vector-limits-on-services-created-after-may-17-2024)
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+[Between April 3, 2024 and May 17, 2024](search-limits-quotas-capacity.md#vector-limits-on-services-created-between-april-3-2024-and-may-17-2024)
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+[Between July 1, 2023 and April 3, 2024](search-limits-quotas-capacity.md#vector-limits-on-services-created-between-july-1-2023-and-april-3-2024)
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+[Before July 1, 2023](search-limits-quotas-capacity.md#vector-limits-on-services-created-before-july-1-2023)
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1. Now that you know the age of your search service, review the vector quota limits based on service creation: [Vector index size limits](search-limits-quotas-capacity.md#vector-index-size-limits).
|[Security update addressing information disclosure](https://msrc.microsoft.com/update-guide/vulnerability/CVE-2024-29063)| API | GET responses [no longer return connection strings or keys](search-api-migration.md#breaking-change-for-client-code-that-reads-connection-information). Applies to GET Skillset, GET Index, and GET Indexer. This change helps protect your Azure assets integrated with AI Search from unauthorized access. |
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|[More storage on Basic and Standard tiers](search-limits-quotas-capacity.md#service-limits)| Infrastructure | Basic now supports up to three partitions and three replicas. Basic and Standard (S1, S2, S3) tiers have significantly more storage per partition, at the same per-partition billing rate. Extra capacity is subject to [regional availability](search-limits-quotas-capacity.md#service-limits) and applies to new search services created after April 3, 2024. Currently, there's no in-place upgrade, so you must create a new search service to get the extra storage. |
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|[More quota for vectors](search-limits-quotas-capacity.md#vector-limits-on-services-created-between-april-3-2024-and-may-17-2024)| Infrastructure | Vector quotas are also higher on new services created after April 3, 2024 in selected regions. |
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|[More quota for vectors](search-limits-quotas-capacity.md#vector-index-size-limits)| Infrastructure | Vector quotas are also higher on new services created after April 3, 2024 in selected regions. |
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|[Vector quantization, narrow vector data types, and a new `stored` property (preview)](vector-search-how-to-configure-compression-storage.md)| Feature | Collectively, these three features add vector compression and smarter storage options. First, *scalar quantization* reduces vector index size in memory and on disk. Second, [narrow data types](/rest/api/searchservice/supported-data-types) reduce per-field storage by storing smaller values. Third, you can use `stored` to opt-out of storing the extra copy of a vector that's used only for search results. If you don't need vectors in a query response, you can set `stored` to false to save on space. |
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|[2024-03-01-preview Search REST API](/rest/api/searchservice/search-service-api-versions#2024-03-01-preview)| API | New preview version of the Search REST APIs for the new data types, vector compression properties, and vector storage options. |
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|[2024-03-01-preview Management REST API](/rest/api/searchmanagement/operation-groups?view=rest-searchmanagement-2024-03-01-preview&preserve-view=true)| API | New preview version of the Management REST APIs for control plane operations. |
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