diff --git a/sdk/search/Azure.Search.Documents/samples/Sample07_VectorSearch_UsingRawVectorQuery.md b/sdk/search/Azure.Search.Documents/samples/Sample07_VectorSearch_UsingRawVectorQuery.md
index ae806d897333f..2782499061deb 100644
--- a/sdk/search/Azure.Search.Documents/samples/Sample07_VectorSearch_UsingRawVectorQuery.md
+++ b/sdk/search/Azure.Search.Documents/samples/Sample07_VectorSearch_UsingRawVectorQuery.md
@@ -87,10 +87,10 @@ AzureKeyCredential credential = new AzureKeyCredential(key);
 
 OpenAIClient openAIClient = new OpenAIClient(endpoint, credential);
 string description = "Very popular hotel in town.";
-EmbeddingsOptions embeddingsOptions = new(description);
+EmbeddingsOptions embeddingsOptions = new("EmbeddingsModelName", new string[] { description });
 
-Embeddings embeddings = await openAIClient.GetEmbeddingsAsync("EmbeddingsModelName", embeddingsOptions);
-IReadOnlyList<float> descriptionVector = embeddings.Data[0].Embedding;
+Embeddings embeddings = await openAIClient.GetEmbeddingsAsync(embeddingsOptions);
+ReadOnlyMemory<float> descriptionVector = embeddings.Data[0].Embedding;
 ```
 
 In the sample code below, we are using hardcoded embeddings for the vector fields named `DescriptionVector` and `CategoryVector`:
diff --git a/sdk/search/Azure.Search.Documents/samples/Sample07_VectorSearch_UsingSemanticHybridQuery.md b/sdk/search/Azure.Search.Documents/samples/Sample07_VectorSearch_UsingSemanticHybridQuery.md
index fe4a427345edd..01571c482dd12 100644
--- a/sdk/search/Azure.Search.Documents/samples/Sample07_VectorSearch_UsingSemanticHybridQuery.md
+++ b/sdk/search/Azure.Search.Documents/samples/Sample07_VectorSearch_UsingSemanticHybridQuery.md
@@ -105,10 +105,10 @@ AzureKeyCredential credential = new AzureKeyCredential(key);
 
 OpenAIClient openAIClient = new OpenAIClient(endpoint, credential);
 string description = "Very popular hotel in town.";
-EmbeddingsOptions embeddingsOptions = new(description);
+EmbeddingsOptions embeddingsOptions = new("EmbeddingsModelName", new string[] { description });
 
-Embeddings embeddings = await openAIClient.GetEmbeddingsAsync("EmbeddingsModelName", embeddingsOptions);
-IReadOnlyList<float> descriptionVector = embeddings.Data[0].Embedding;
+Embeddings embeddings = await openAIClient.GetEmbeddingsAsync(embeddingsOptions);
+ReadOnlyMemory<float> descriptionVector = embeddings.Data[0].Embedding;
 ```
 
 In the sample code below, we are using hardcoded embeddings for the vector fields named `DescriptionVector` and `CategoryVector`:
diff --git a/sdk/search/Azure.Search.Documents/samples/Sample07_VectorSearch_UsingVectorizableTextQuery.md b/sdk/search/Azure.Search.Documents/samples/Sample07_VectorSearch_UsingVectorizableTextQuery.md
index cb6fea295d425..b8fd230caf209 100644
--- a/sdk/search/Azure.Search.Documents/samples/Sample07_VectorSearch_UsingVectorizableTextQuery.md
+++ b/sdk/search/Azure.Search.Documents/samples/Sample07_VectorSearch_UsingVectorizableTextQuery.md
@@ -103,10 +103,10 @@ AzureKeyCredential credential = new AzureKeyCredential(key);
 
 OpenAIClient openAIClient = new OpenAIClient(endpoint, credential);
 string description = "Very popular hotel in town.";
-EmbeddingsOptions embeddingsOptions = new(description);
+EmbeddingsOptions embeddingsOptions = new("EmbeddingsModelName", new string[] { description });
 
-Embeddings embeddings = await openAIClient.GetEmbeddingsAsync("EmbeddingsModelName", embeddingsOptions);
-IReadOnlyList<float> descriptionVector = embeddings.Data[0].Embedding;
+Embeddings embeddings = await openAIClient.GetEmbeddingsAsync(embeddingsOptions);
+ReadOnlyMemory<float> descriptionVector = embeddings.Data[0].Embedding;
 ```
 
 In the sample code below, we are using hardcoded embeddings for the vector fields named `DescriptionVector` and `CategoryVector`:
diff --git a/sdk/search/Azure.Search.Documents/tests/Azure.Search.Documents.Tests.csproj b/sdk/search/Azure.Search.Documents/tests/Azure.Search.Documents.Tests.csproj
index b23eadc793180..273e7a624fbd3 100644
--- a/sdk/search/Azure.Search.Documents/tests/Azure.Search.Documents.Tests.csproj
+++ b/sdk/search/Azure.Search.Documents/tests/Azure.Search.Documents.Tests.csproj
@@ -27,7 +27,7 @@
 
  <!-- References required for sample snippet -->
   <ItemGroup>
-    <PackageReference Include="Azure.AI.OpenAI" />
+    <ProjectReference Include="..\..\..\openai\Azure.AI.OpenAI\src\Azure.AI.OpenAI.csproj" />
   </ItemGroup>
 
   <!-- References required for test resource creation -->
diff --git a/sdk/search/Azure.Search.Documents/tests/Samples/Readme.cs b/sdk/search/Azure.Search.Documents/tests/Samples/Readme.cs
index d9a1323659b90..fda5e53c1c27d 100644
--- a/sdk/search/Azure.Search.Documents/tests/Samples/Readme.cs
+++ b/sdk/search/Azure.Search.Documents/tests/Samples/Readme.cs
@@ -215,10 +215,10 @@ public async Task GetEmbeddings()
 
             OpenAIClient openAIClient = new OpenAIClient(endpoint, credential);
             string description = "Very popular hotel in town.";
-            EmbeddingsOptions embeddingsOptions = new(description);
+            EmbeddingsOptions embeddingsOptions = new("EmbeddingsModelName", new string[] { description });
 
-            Embeddings embeddings = await openAIClient.GetEmbeddingsAsync("EmbeddingsModelName", embeddingsOptions);
-            IReadOnlyList<float> descriptionVector = embeddings.Data[0].Embedding;
+            Embeddings embeddings = await openAIClient.GetEmbeddingsAsync(embeddingsOptions);
+            ReadOnlyMemory<float> descriptionVector = embeddings.Data[0].Embedding;
             #endregion
         }