.Net: Fix top/skip bug in Azure AI Search (#13326)

### Motivation and Context

#13324

### Description

- Fix top/skip bug in Azure AI Search

### Contribution Checklist

<!-- Before submitting this PR, please make sure: -->

- [ ] The code builds clean without any errors or warnings
- [ ] The PR follows the [SK Contribution
Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
and the [pre-submission formatting
script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts)
raises no violations
- [ ] All unit tests pass, and I have added new tests where possible
- [ ] I didn't break anyone 😄

Author: westey-m

dotnet/src/VectorData/AzureAISearch/AzureAISearchCollection.cs

@@ -400,8 +400,8 @@ public override async IAsyncEnumerable<VectorSearchResult<TRecord>> SearchAsync<
             options,
             top,
             floatVector is null
-                ? new VectorizableTextQuery((string)(object)searchValue) { KNearestNeighborsCount = top, Fields = { vectorProperty.StorageName } }
-                : new VectorizedQuery(floatVector.Value) { KNearestNeighborsCount = top, Fields = { vectorProperty.StorageName } });
+                ? new VectorizableTextQuery((string)(object)searchValue) { KNearestNeighborsCount = top + options.Skip, Fields = { vectorProperty.StorageName } }
+                : new VectorizedQuery(floatVector.Value) { KNearestNeighborsCount = top + options.Skip, Fields = { vectorProperty.StorageName } });
 
         await foreach (var record in this.SearchAndMapToDataModelAsync(null, searchOptions, options.IncludeVectors, cancellationToken).ConfigureAwait(false))
         {
@@ -442,8 +442,8 @@ public async IAsyncEnumerable<VectorSearchResult<TRecord>> HybridSearchAsync<TIn
             },
             top,
             floatVector is null
-                ? new VectorizableTextQuery((string)(object)searchValue) { KNearestNeighborsCount = top, Fields = { vectorProperty.StorageName } }
-                : new VectorizedQuery(floatVector.Value) { KNearestNeighborsCount = top, Fields = { vectorProperty.StorageName } });
+                ? new VectorizableTextQuery((string)(object)searchValue) { KNearestNeighborsCount = top + options.Skip, Fields = { vectorProperty.StorageName } }
+                : new VectorizedQuery(floatVector.Value) { KNearestNeighborsCount = top + options.Skip, Fields = { vectorProperty.StorageName } });
 
         searchOptions.SearchFields.Add(textDataProperty.StorageName);
         var keywordsCombined = string.Join(" ", keywords);