Update search-api-preview.md

Acrolinx fix

Author: Jill Grant

articles/search/search-api-preview.md

@@ -27,7 +27,7 @@ Preview features are removed from this list if they're retired or transition to
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 | [**Query rewrite in the semantic reranker**](semantic-how-to-query-rewrite.md) | Relevance (scoring) | You can set options on a semantic query to rewrite the query input into a revised or expanded query that generates more relevant results from the L2 ranker. | [Search Documents (preview)](/rest/api/searchservice/documents/search-post?view=rest-searchservice-2024-11-01-preview&preserve-view=true).|
 | [**Document Layout skill**](cognitive-search-skill-document-intelligence-layout.md) | Applied AI (skills) | A new skill used to analyze a document for structure and provide [structure-aware chunking](search-how-to-semantic-chunking.md). | [Create or Update Skillset (preview)](/rest/api/searchservice/skillsets/create-or-update?view=rest-searchservice-2024-11-01-preview&preserve-view=true). |
-| [**eyless billing for Azure AI skills processing**](cognitive-search-attach-cognitive-services.md). | Applied AI (skills) | You can now use a managed identity and roles for a keyless connection to Azure AI services for built-in skills processing. This capability removes restrictions for having both search and AI services in the same region.  | [Create or Update Skillset  (preview)](/rest/api/searchservice/skillsets/create-or-update?view=rest-searchservice-2024-11-01-preview&preserve-view=true).|
+| [**Keyless billing for Azure AI skills processing**](cognitive-search-attach-cognitive-services.md). | Applied AI (skills) | You can now use a managed identity and roles for a keyless connection to Azure AI services for built-in skills processing. This capability removes restrictions for having both search and AI services in the same region.  | [Create or Update Skillset  (preview)](/rest/api/searchservice/skillsets/create-or-update?view=rest-searchservice-2024-11-01-preview&preserve-view=true).|
 | [**Markdown parsing mode**](search-how-to-index-markdown-blobs.md) | Indexer data source | With this parsing mode, indexers can generate one-to-one or one-to-many search documents from Markdown files in Azure Storage. | [Create or Update Indexer (preview)](/rest/api/searchservice/indexers/create-or-update?view=rest-searchservice-2024-11-01-preview&preserve-view=true). |
 | [**Rescoring options for compressed vectors**](vector-search-how-to-quantization.md) | Relevance (scoring) | You can set options to rescore with original vectors instead of compressed vectors. Applies to HNSW and exhaustive KNN vector algorithms, using binary and scalar compression. | [Create or Update Index (preview)](/rest/api/searchservice/indexes/create-or-update?view=rest-searchservice-2024-09-01-preview&preserve-view=true).|
 | [**Lower the dimension requirements for MRL-trained text embedding models on Azure OpenAI**](vector-search-how-to-truncate-dimensions.md) | Index | Text-embedding-3-small and Text-embedding-3-large are trained using Matryoshka Representation Learning (MRL). This allows you to truncate the embedding vectors to fewer dimensions, and adjust the balance between vector index size usage and retrieval quality. A new `truncationDimension` provides the MRL behaviors as an extra parameter in a vector compression configuration. This can only be configured for new vector fields. | [Create or Update Index (preview)](/rest/api/searchservice/indexes/create-or-update?view=rest-searchservice-2024-09-01-preview&preserve-view=true). |