diff --git a/dotnet/samples/Concepts/Memory/HuggingFace_TextEmbeddingCustomHttpHandler.cs b/dotnet/samples/Concepts/Memory/HuggingFace_TextEmbeddingCustomHttpHandler.cs
new file mode 100644
index 000000000000..744274d4c527
--- /dev/null
+++ b/dotnet/samples/Concepts/Memory/HuggingFace_TextEmbeddingCustomHttpHandler.cs
@@ -0,0 +1,73 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json;
+using Microsoft.SemanticKernel.Connectors.HuggingFace;
+using Microsoft.SemanticKernel.Connectors.Sqlite;
+using Microsoft.SemanticKernel.Memory;
+
+#pragma warning disable CS8602 // Dereference of a possibly null reference.
+
+namespace Memory;
+
+///
+/// This example shows how to use custom to override Hugging Face HTTP response.
+/// Generally, an embedding model will return results as a 1 * n matrix for input type [string]. However, the model can have different matrix dimensionality.
+/// For example, the cointegrated/LaBSE-en-ru model returns results as a 1 * 1 * 4 * 768 matrix, which is different from Hugging Face embedding generation service implementation.
+/// To address this, a custom can be used to modify the response before sending it back.
+///
+public class HuggingFace_TextEmbeddingCustomHttpHandler(ITestOutputHelper output) : BaseTest(output)
+{
+ public async Task RunInferenceApiEmbeddingCustomHttpHandlerAsync()
+ {
+ Console.WriteLine("\n======= Hugging Face Inference API - Embedding Example ========\n");
+
+ var hf = new HuggingFaceTextEmbeddingGenerationService(
+ "cointegrated/LaBSE-en-ru",
+ apiKey: TestConfiguration.HuggingFace.ApiKey,
+ httpClient: new HttpClient(new CustomHttpClientHandler()
+ {
+ CheckCertificateRevocationList = true
+ })
+ );
+
+ var sqliteMemory = await SqliteMemoryStore.ConnectAsync("./../../../Sqlite.sqlite");
+
+ var skMemory = new MemoryBuilder()
+ .WithTextEmbeddingGeneration(hf)
+ .WithMemoryStore(sqliteMemory)
+ .Build();
+
+ await skMemory.SaveInformationAsync("Test", "THIS IS A SAMPLE", "sample", "TEXT");
+ }
+
+ private sealed class CustomHttpClientHandler : HttpClientHandler
+ {
+ private readonly JsonSerializerOptions _jsonOptions = new();
+ protected override async Task SendAsync(HttpRequestMessage request, CancellationToken cancellationToken)
+ {
+ // Log the request URI
+ //Console.WriteLine($"Request: {request.Method} {request.RequestUri}");
+
+ // Send the request and get the response
+ HttpResponseMessage response = await base.SendAsync(request, cancellationToken);
+
+ // Log the response status code
+ //Console.WriteLine($"Response: {(int)response.StatusCode} {response.ReasonPhrase}");
+
+ // You can manipulate the response here
+ // For example, add a custom header
+ // response.Headers.Add("X-Custom-Header", "CustomValue");
+
+ // For example, modify the response content
+ Stream originalContent = await response.Content.ReadAsStreamAsync(cancellationToken).ConfigureAwait(false);
+ List>>> modifiedContent = (await JsonSerializer.DeserializeAsync>>>>(originalContent, _jsonOptions, cancellationToken).ConfigureAwait(false))!;
+
+ Stream modifiedStream = new MemoryStream();
+ await JsonSerializer.SerializeAsync(modifiedStream, modifiedContent[0][0].ToList(), _jsonOptions, cancellationToken).ConfigureAwait(false);
+ response.Content = new StreamContent(modifiedStream);
+
+ // Return the modified response
+ return response;
+ }
+ }
+}
diff --git a/dotnet/src/Connectors/Connectors.HuggingFace.UnitTests/Services/HuggingFaceEmbeddingGenerationTests.cs b/dotnet/src/Connectors/Connectors.HuggingFace.UnitTests/Services/HuggingFaceEmbeddingGenerationTests.cs
index c4e654082832..9bfabdba338d 100644
--- a/dotnet/src/Connectors/Connectors.HuggingFace.UnitTests/Services/HuggingFaceEmbeddingGenerationTests.cs
+++ b/dotnet/src/Connectors/Connectors.HuggingFace.UnitTests/Services/HuggingFaceEmbeddingGenerationTests.cs
@@ -129,8 +129,8 @@ public async Task ShouldHandleServiceResponseAsync()
//Assert
Assert.NotNull(embeddings);
- Assert.Equal(3, embeddings.Count);
- Assert.Equal(768, embeddings.First().Length);
+ Assert.Single(embeddings);
+ Assert.Equal(1024, embeddings.First().Length);
}
public void Dispose()
diff --git a/dotnet/src/Connectors/Connectors.HuggingFace.UnitTests/TestData/embeddings_test_response_feature_extraction.json b/dotnet/src/Connectors/Connectors.HuggingFace.UnitTests/TestData/embeddings_test_response_feature_extraction.json
index 0fb3fcd8202a..b682765bd773 100644
--- a/dotnet/src/Connectors/Connectors.HuggingFace.UnitTests/TestData/embeddings_test_response_feature_extraction.json
+++ b/dotnet/src/Connectors/Connectors.HuggingFace.UnitTests/TestData/embeddings_test_response_feature_extraction.json
@@ -1,2316 +1,1028 @@
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]
\ No newline at end of file
diff --git a/dotnet/src/Connectors/Connectors.HuggingFace/Core/HuggingFaceClient.cs b/dotnet/src/Connectors/Connectors.HuggingFace/Core/HuggingFaceClient.cs
index de5ff27ee244..b05df98f662c 100644
--- a/dotnet/src/Connectors/Connectors.HuggingFace/Core/HuggingFaceClient.cs
+++ b/dotnet/src/Connectors/Connectors.HuggingFace/Core/HuggingFaceClient.cs
@@ -297,7 +297,7 @@ public async Task>> GenerateEmbeddingsAsync(
var response = DeserializeResponse(body);
// Currently only one embedding per data is supported
- return response[0][0].ToList()!;
+ return response.ToList()!;
}
private Uri GetEmbeddingGenerationEndpoint(string modelId)
diff --git a/dotnet/src/Connectors/Connectors.HuggingFace/Core/Models/TextEmbeddingResponse.cs b/dotnet/src/Connectors/Connectors.HuggingFace/Core/Models/TextEmbeddingResponse.cs
index af6786d4f434..c9aabcbd5195 100644
--- a/dotnet/src/Connectors/Connectors.HuggingFace/Core/Models/TextEmbeddingResponse.cs
+++ b/dotnet/src/Connectors/Connectors.HuggingFace/Core/Models/TextEmbeddingResponse.cs
@@ -8,4 +8,5 @@ namespace Microsoft.SemanticKernel.Connectors.HuggingFace.Core;
///
/// Represents the response from the Hugging Face text embedding API.
///
-internal sealed class TextEmbeddingResponse : List>>>;
+/// List<ReadOnlyMemory<float>>
+internal sealed class TextEmbeddingResponse : List>;