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Merge pull request #277014 from HeidiSteen/heidist-may28
GH issues, typo
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articles/search/search-api-migration.md

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`2023-07-01-preview` was the first REST API for vector support. It's now deprecated and you should migrate to either stable or newer preview REST APIs immediately.
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> [!NOTE]
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> REST API reference docs are now versioned. To get version-specific content, open a reference page and then filter by version, using the selector located above the table of contents.
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> REST API reference docs are now versioned. For version-specific content, open a reference page and then use the selector located to the right, above the table of contents, to pick your version.
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## When to upgrade
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+ In all versions after `2020-06-01-preview`: `semanticConfiguration` replaces `searchFields` as the mechanism for specifying which fields to use for L2 ranking.
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+ For all API versions, updates on July 14, 2023 to the Microsoft-hosteed semantic models made semantic ranking language-agnostic, effectively decommissioning the `queryLanguage` property. There's no "breaking change" in code, but the property is ignored.
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+ For all API versions, updates on July 14, 2023 to the Microsoft-hosted semantic models made semantic ranking language-agnostic, effectively decommissioning the `queryLanguage` property. There's no "breaking change" in code, but the property is ignored.
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See [Migrate from preview version](semantic-how-to-configure.md#migrate-from-preview-versions) to transition your code to use `semanticConfiguration`.
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[`2024-03-01-preview`](/rest/api/searchservice/search-service-api-versions#2024-03-01-preview) adds narrow data types, scalar quantization, and vector storage options.
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If your code currently targets `2023-10-01-preview`, you can target `2024-03-01-preview` with no breaking changes. However, there's one behavior difference: for `2023-11-01` and newer previews, the `vectorFilterMode` default changed from postfilter to prefilter for [filter expressions](vector-search-filters.md).
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If you're upgrading from `2023-10-01-preview`, there are no breaking changes. However, there's one behavior difference: for `2023-11-01` and newer previews, the `vectorFilterMode` default changed from postfilter to prefilter for [filter expressions](vector-search-filters.md).
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1. Search your codebase for `vectorFilterMode` references.
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1. If the property is explicitly set, no action is required. If you used the default, be aware that the new default behavior is to filter before query execution. If you want post-query filtering, explicitly set `vectorFilterMode` to postfilter to retain the old behavior.
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## Upgrade to 2023-10-01-preview
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[`2023-10-01-preview`](/rest/api/searchservice/search-service-api-versions#2023-10-01-preview) was the first preview version to add [built-in data chunking and vectorization during indexing](vector-search-integrated-vectorization.md) and [built-in query vectorization](vector-search-how-to-configure-vectorizer.md).
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[`2023-10-01-preview`](/rest/api/searchservice/search-service-api-versions#2023-10-01-preview) was the first preview version to add [built-in data chunking and vectorization during indexing](vector-search-integrated-vectorization.md) and [built-in query vectorization](vector-search-how-to-configure-vectorizer.md). It also supports vector indexing and queries from the previous version.
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The next section provides upgrade steps.
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If you're upgrading from the previous version, the next section has the steps.
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## Upgrade from 2023-07-01-preview
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`2023-07-01-preview` is now deprecated, so you shouldn't upgrade to this version under any circumstances. This section explains the migration path from `2023-07-01-preview` to any newer API version. There are multiple breaking changes from `2023-07-01-preview` to any newer version.
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`2023-07-01-preview` is now deprecated, so you shouldn't upgrade *to* this version under any circumstances. This section explains the migration path from `2023-07-01-preview` to any newer API version. There are multiple breaking changes from `2023-07-01-preview` to any newer version.
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### Portal upgrade for vector indexes
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articles/search/search-indexer-howto-access-private.md

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+ Indexer execution must use the private execution environment that's specific to your search service. Private endpoint connections aren't supported from the multitenant environment. The configuration setting for this requirement is covered in this article.
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## Prerequisites
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+ An Azure AI Search at the Basic tier or higher. If you're using [AI enrichment](cognitive-search-concept-intro.md) and skillsets, the tier must be Standard 2 (S2) or higher. See [Service limits](search-limits-quotas-capacity.md#shared-private-link-resource-limits) for details.
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+ On Azure Storage, use [Private Endpoint Connections - Put](/rest/api/storagerp/private-endpoint-connections/put)
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+ On Azure Cosmos DB, use [Private Endpoint Connections - Create Or Update](/rest/api/cosmos-db-resource-provider/private-endpoint-connections/create-or-update)
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+ On Azure OpenAI, use [Private Endpoint Connections - Create Or Update](/rest/api/aiservices/accountmanagement/private-endpoint-connections/create-or-update?view=rest-aiservices-accountmanagement-2023-05-01&preserve-view=true)
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Using the Azure portal, perform the following steps:
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includes/azure-search-limits-per-service.md

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| Resource | Free | Basic | S1 | S2 | S3 | S3 HD | L1 | L2 |
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|----------|------|--------|----|----|----|------------|----|----|
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| Service level agreement (SLA) | No |Yes |Yes |Yes |Yes |Yes |Yes |Yes |
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| Storage (partition size) | 50 MB | 15 GB | 160 GB | 512 GB | 1 TB |  TB | **2 TB** | **4 TB** |
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| Storage (partition size) | 50 MB | 15 GB | 160 GB | 512 GB | 1 TB | 1 TB | **2 TB** | **4 TB** |
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| Partitions | N/A |3 |12 |12 |12 |3 |12 |12 |
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| Replicas | N/A | 3 |12 |12 |12 |12 |12 |12 |
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