Merge pull request #2858 from KatieMacalintal/spl-support

Update SPL resource limits for Basic and S1 tiers

Author: prmerger-automator[bot]

articles/search/search-limits-quotas-capacity.md

@@ -145,14 +145,14 @@ Indexers can access other Azure resources [over private endpoints](search-indexe
 | Resource | Free | Basic | S1 | S2 | S3 | S3 HD | L1 | L2 |
 |----------|------|-------|----|----|----|-------|----|----|
 | Private endpoint indexer support | No | Yes | Yes | Yes | Yes | No | Yes | Yes |
-| Private endpoint support for indexers with a skillset<sup>1</sup> | No | No | No | Yes | Yes | No | Yes | Yes |
-| Private endpoint support for indexers with a skillset and integrated vectorization <sup>2</sup> | No | Yes | Yes | Yes | Yes | No | Yes | Yes |
+| Private endpoint support for indexers with a skillset <sup>1</sup> | No | No | Yes | Yes | Yes | No | Yes | Yes |
+| Private endpoint support for skillsets with an embedding skill <sup>2</sup> | No | Yes | Yes | Yes | Yes | No | Yes | Yes |
 | Maximum private endpoints | N/A | 10 or 30 | 100 | 400 | 400 | N/A | 20 | 20 |
-| Maximum distinct resource types<sup>3</sup> | N/A | 4 | 7 | 15 | 15 | N/A | 4 | 4 |
+| Maximum distinct resource types <sup>3</sup> | N/A | 4 | 7 | 15 | 15 | N/A | 4 | 4 |
 
-<sup>1</sup> AI enrichment and image analysis are computationally intensive and consume disproportionate amounts of available processing power. For this reason, private connections are disabled on lower tiers to ensure the performance and stability of the search service itself.
+<sup>1</sup> AI enrichment and image analysis are computationally intensive and consume disproportionate amounts of available processing power. For this reason, private connections are disabled on lower tiers to ensure the performance and stability of the search service itself. On basic services, private connections to an Azure AI multi-service resource are unsupported to preserve service stability. For the S1 tier, make sure the service was created with [higher limits](search-limits-quotas-capacity.md#partition-storage-gb) after April 3, 2024. 
 
-<sup>2</sup> High-capacity services created after April 3, 2024 in the regions listed under [Partition Storage](search-limits-quotas-capacity.md#partition-storage-gb) and running [integrated vectorization](vector-search-integrated-vectorization.md) workloads at indexing time support shared private links in paid tiers. The system must detect at least a skill that is embedding data.
+<sup>2</sup> Private connections to an embedding model are supported on basic and S1 high-capacity search services created after April 3, 2024, with the [higher limits](search-limits-quotas-capacity.md#partition-storage-gb) for storage and computational processing. 
 
 <sup>3</sup> The number of distinct resource types are computed as the number of unique `groupId` values used across all shared private link resources for a given search service, irrespective of the status of the resource.