Minor edits

Author: cdpark

articles/search/index-add-suggesters.md

@@ -17,13 +17,13 @@ ms.custom:
 
 # Configure a suggester for autocomplete and suggestions in a query
 
-In Azure AI Search, typeahead (autocomplete) or "search-as-you-type" is enabled by using a *suggester*. A suggester is a configuration in an index that specifies which fields should be used to populate autocomplete and suggested matches. These fields undergo extra tokenization, generating prefix sequences to support matches on partial terms. For example, a suggester that includes a `city` field with a value for *Seattle* has prefix combinations of *sea*, *seat*, *seatt*, and *seattl* to support typeahead.
+In Azure AI Search, typeahead or "search-as-you-type" is enabled by using a *suggester*. A suggester is a configuration in an index that specifies which fields should be used to populate autocomplete and suggested matches. These fields undergo extra tokenization, generating prefix sequences to support matches on partial terms. For example, a suggester that includes a `city` field with a value for *Seattle* has prefix combinations of *sea*, *seat*, *seatt*, and *seattl* to support typeahead.
 
 Matches on partial terms can be either an autocompleted query or a suggested match. The same suggester supports both experiences.
 
 ## Typeahead experiences in Azure AI Search
 
-Typeahead can be *autocomplete*, which completes a partial input for a whole term query, or *suggestions* that invite click through to a particular match. Autocomplete produces a query. Suggestions produce a matching document.
+Typeahead can use *autocomplete*, which completes a partial input for a whole term query, or *suggestions* that invite click through to a particular match. Autocomplete produces a query. Suggestions produce a matching document.
 
 The following screenshot illustrates both. Autocomplete anticipates a potential term, finishing *tw* with *in*. Suggestions are mini search results, where a field like `hotel name` represents a matching hotel search document from the index. For suggestions, you can surface any field that provides descriptive information.
 

articles/search/samples-dotnet.md

@@ -16,7 +16,7 @@ ms.date: 10/18/2024
 
 # C# samples for Azure AI Search
 
-Learn about the C# code samples that demonstrate the functionality and workflow of an Azure AI Search solution. These samples use the [**Azure AI Search client library**](/dotnet/api/overview/azure/search) for the [**Azure SDK for .NET**](/dotnet/azure/), which you can explore through the following links.
+You can explore C# code samples that demonstrate the functionality and workflow of an Azure AI Search solution. These samples use the [**Azure AI Search client library**](/dotnet/api/overview/azure/search) for the [**Azure SDK for .NET**](/dotnet/azure/), which you can access through the following links.
 
 | Target | Link |
 |--------|------|

articles/search/search-blob-metadata-properties.md

@@ -14,15 +14,15 @@ ms.date: 10/21/2024
 
 # Content metadata properties used in Azure AI Search
 
-Several of the indexer-supported data sources, including Azure Blob Storage, Azure Data Lake Storage Gen2, and SharePoint, contain standalone files or embedded objects of various content types. Many of those content types have metadata properties that can be useful to index. Just as you can create search fields for standard blob properties like `metadata_storage_name`, you can create fields in a search index for metadata properties that are specific to a document format.
+Several indexer-supported data sources, including Azure Blob Storage, Azure Data Lake Storage Gen2, and SharePoint, contain standalone files or embedded objects of various content types. Many of those content types have metadata properties that can be useful to index. Just as you can create search fields for standard blob properties like `metadata_storage_name`, you can create fields in a search index for metadata properties that are specific to a document format.
 
 ## Supported document formats
 
 Azure AI Search supports blob indexing and SharePoint document indexing for the following document formats:
 
 [!INCLUDE [search-blob-data-sources](./includes/search-blob-data-sources.md)]
 
-## Properties by document format
+## Document format properties
 
 The following table summarizes processing for each document format, and describes the metadata properties extracted by a blob indexer and the SharePoint Online indexer.