Skip to content

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

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
westey-m merged 1 commit into from
Nov 3, 2025
Merged

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

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 4 additions & 4 deletions dotnet/src/VectorData/AzureAISearch/AzureAISearchCollection.cs
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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))
{
Expand Down Expand Up @@ -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);
Expand Down
Loading