chore: import upstream snapshot with attribution

dotnet/samples/Concepts/Memory/HuggingFace_EmbeddingGeneration.cs

@@ -0,0 +1,33 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Extensions.AI;
+using Microsoft.SemanticKernel;
+using xRetry;
+
+#pragma warning disable format // Format item can be simplified
+#pragma warning disable CA1861 // Avoid constant arrays as arguments
+
+namespace Memory;
+
+// The following example shows how to use Semantic Kernel with HuggingFace API.
+public class HuggingFace_EmbeddingGeneration(ITestOutputHelper output) : BaseTest(output)
+{
+    [RetryFact(typeof(HttpOperationException))]
+    public async Task RunInferenceApiEmbeddingAsync()
+    {
+        Console.WriteLine("\n======= Hugging Face Inference API - Embedding Example ========\n");
+
+        Kernel kernel = Kernel.CreateBuilder()
+            .AddHuggingFaceEmbeddingGenerator(
+                               model: TestConfiguration.HuggingFace.EmbeddingModelId,
+                               apiKey: TestConfiguration.HuggingFace.ApiKey)
+            .Build();
+
+        var embeddingGenerator = kernel.GetRequiredService<IEmbeddingGenerator<string, Embedding<float>>>();
+
+        // Generate embeddings for each chunk.
+        var embeddings = await embeddingGenerator.GenerateAsync(["John: Hello, how are you?\nRoger: Hey, I'm Roger!"]);
+
+        Console.WriteLine($"Generated {embeddings.Count} embeddings for the provided text");
+    }
+}