fixed table formatting bug

Author: HeidiSteen

articles/search/search-api-preview.md

@@ -25,7 +25,7 @@ Preview features are removed from this list if they're retired or transition to
 
 |Feature                          | Category | Description | Availability  |
 |---------|------------------|-------------|---------------|
-| [**Optionally lower the dimension requirements on retrained text embedding models on Azure OpenAI**](vector-search-how-to-configure-compression-storage.md) | Feature | Text-embedding-3-small and Text-embedding-3-large are retrained using the Matryoshka Representation Learning (MRL) technique, allowing you to specify a lower dimension limit, saving on vector storage. A new `truncationDimension` provides the MRL behaviors. | [Create or Update Index (preview)](/rest/api/searchservice/indexes/create-or-update?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
+| [**Optionally lower the dimension requirements for retrained text embedding models on Azure OpenAI**](vector-search-how-to-configure-compression-storage.md) | Feature | Text-embedding-3-small and Text-embedding-3-large are retrained using the Matryoshka Representation Learning (MRL) technique, allowing you to specify a lower dimension limit, saving on vector storage. A new `truncationDimension` provides the MRL behaviors. | [Create or Update Index (preview)](/rest/api/searchservice/indexes/create-or-update?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
 | [**Unpack `@search.score` to view subscores in hybrid search results**](hybrid-search-ranking.md) | Feature | You can investigate Reciprocal Rank Fusion (RRF) ranked results by viewing the individual query subscores of the final merged and scored result. A new `debug` property unpacks the search score. `QueryResultDocumentSubscores`, `QueryResultDocumentRerankerInput`, and `QueryResultDocumentSemanticField` provide the extra detail. | [Search Documents (preview)](/rest/api/searchservice/documents/search-post?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
 | [**Target filters in a hybrid search to just the vector queries**](hybrid-search-how-to-query.md) | Feature | A filter on a hybrid query involves all subqueries on the request, regardless of type. You can override the global filter to scope the filter to a specific subquery. A new `filterOverride` parameter provides the behaviors. | [Search Documents (preview)](/rest/api/searchservice/documents/search-post?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
 | [**Text Split skill (token chunking)**](cognitive-search-skill-textsplit.md) | Applied AI (skills) | This skill has new parameters that improve data chunking for embedding models. A new `unit` parameter lets you specify token chunking. You can now chunk by token length, setting the length to a value that makes sense for your embedding model. You can also specify the tokenizer and any tokens that shouldn't be split during data chunking. | [Create or Update Skillset (preview)](/rest/api/searchservice/skillsets/create-or-update?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |

articles/search/whats-new.md

@@ -23,10 +23,10 @@ ms.custom:
 
 | Item                         | Type |  Description |
 |-----------------------------|------|--------------|
-| [**Optionally lower the dimension requirements on retrained text embedding models on Azure OpenAI**](vector-search-how-to-configure-compression-storage.md) | Feature | Text-embedding-3-small and Text-embedding-3-large are retrained using the Matryoshka Representation Learning (MRL) technique, allowing you to specify a lower dimension limit, saving on vector storage. A new `truncationDimension` provides the MRL behaviors in the [2024-09-01-preview](/rest/api/searchservice/indexes/create-or-update?view=rest-searchservice-2024-09-01-preview&preserve-view=true) API version. |
-| [**Unpack `@search.score` to view subscores in hybrid search results**](hybrid-search-ranking.md) | Feature | You can investigate Reciprocal Rank Fusion (RRF) ranked results by viewing the individual query subscores of the final merged and scored result. A new `debug` property unpacks the search score. `QueryResultDocumentSubscores`, `QueryResultDocumentRerankerInput`, and `QueryResultDocumentSemanticField` provide the extra detail. These definitions are available in the [2024-09-01-preview](/rest/api/searchservice/documents/search-post?view=rest-searchservice-2024-09-01-preview&preserve-view=true) API version. |
-| [**Target filters in a hybrid search to just the vector queries**](hybrid-search-how-to-query.md) | Feature | A filter on a hybrid query involves all subqueries on the request, regardless of type. You can override the global filter to scope the filter to a specific subquery. The new `filterOverride` parameter is available on hybrid queries using the [2024-09-01-preview](/rest/api/searchservice/documents/search-post?view=rest-searchservice-2024-09-01-preview&preserve-view=true) API version. |
-| [**Text Split skill (token chunking)**](cognitive-search-skill-textsplit.md) | Applied AI (skills) | This skill has new parameters that improve data chunking for embedding models. A new `unit` parameter lets you specify token chunking. You can now chunk by token length, setting the length to a value that makes sense for your embedding model. You can also specify the tokenizer and any tokens that shouldn't be split during data chunking. | [Create or Update Skillset (preview)](/rest/api/searchservice/skillsets/create-or-update?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
+| [**Optionally lower the dimension requirements for retrained text embedding models on Azure OpenAI**](vector-search-how-to-configure-compression-storage.md) | Feature | Text-embedding-3-small and Text-embedding-3-large are retrained using the Matryoshka Representation Learning (MRL) technique, allowing you to specify a lower dimension limit, saving on vector storage. A new `truncationDimension` provides the MRL behaviors in the [2024-09-01-preview](/rest/api/searchservice/indexes/create-or-update?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
+| [**Unpack `@search.score` to view subscores in hybrid search results**](hybrid-search-ranking.md) | Feature | You can investigate Reciprocal Rank Fusion (RRF) ranked results by viewing the individual query subscores of the final merged and scored result. A new `debug` property unpacks the search score. `QueryResultDocumentSubscores`, `QueryResultDocumentRerankerInput`, and `QueryResultDocumentSemanticField` provide the extra detail. These definitions are available in the [2024-09-01-preview](/rest/api/searchservice/documents/search-post?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
+| [**Target filters in a hybrid search to just the vector queries**](hybrid-search-how-to-query.md) | Feature | A filter on a hybrid query involves all subqueries on the request, regardless of type. You can override the global filter to scope the filter to a specific subquery. The new `filterOverride` parameter is available on hybrid queries using the [2024-09-01-preview](/rest/api/searchservice/documents/search-post?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
+| [**Text Split skill (token chunking)**](cognitive-search-skill-textsplit.md) | Applied AI (skills) | This skill has new parameters that improve data chunking for embedding models. A new `unit` parameter lets you specify token chunking. You can now chunk by token length, setting the length to a value that makes sense for your embedding model. You can also specify the tokenizer and any tokens that shouldn't be split during data chunking. The new `unit` parameter and query subscore definitions are found in the [2024-09-01-preview](/rest/api/searchservice/skillsets/create-or-update?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |
 | [**2024-09-01-preview**](/rest/api/searchservice/search-service-api-versions?view=rest-searchservice-2024-09-01-preview&preserve-view=true) | API | Preview release of REST APIs for truncated dimensions in text-embedding-3 models, targeted vector filtering for hybrid queries, RRF subscore details for debugging, and token chunking for Text Split skill.|
 
 ## August 2024