Bump Microsoft.Extensions.VectorData.Abstractions from 9.0.0-preview.1.25161.1 to 9.0.0-preview.1.25229.1 in /docs/ai/quickstarts/snippets/chat-with-data/azure-openai in the dotnet group

docs/ai/quickstarts/build-vector-search-app.md

@@ -145,16 +145,16 @@ Complete the following steps to create a .NET console app that can:
 
 ## Add the app code
 
-1. Add a new class named **CloudService** to your project with the following properties:
+1. Add a new class named `CloudService` to your project with the following properties:
 
    :::code language="csharp" source="snippets/chat-with-data/azure-openai/CloudService.cs" :::
 
     In the preceding code:
 
     - The C# attributes provided by `Microsoft.Extensions.VectorData` influence how each property is handled when used in a vector store.
-    - The **Vector** property stores a generated embedding that represents the semantic meaning of the **Name** and **Description** for vector searches.
+    - The `Vector` property stores a generated embedding that represents the semantic meaning of the `Name` and `Description` for vector searches.
 
-1. In the **Program.cs** file, add the following code to create a data set that describes a collection of cloud services:
+1. In the `Program.cs` file, add the following code to create a data set that describes a collection of cloud services:
 
    :::code language="csharp" source="snippets/chat-with-data/azure-openai/program.cs" id="DataSet":::
 
@@ -191,7 +191,7 @@ Complete the following steps to create a .NET console app that can:
     dotnet run
     ```
 
-    The app prints out the top result of the vector search, which is the cloud service that is most relevant to the original query. You can modify the query to try different search scenarios.
+    The app prints out the top result of the vector search, which is the cloud service that's most relevant to the original query. You can modify the query to try different search scenarios.
 
 :::zone target="docs" pivot="azure-openai"
 

docs/ai/quickstarts/snippets/chat-with-data/azure-openai/CloudService.cs

@@ -13,6 +13,6 @@ internal class CloudService
     [VectorStoreRecordData]
     public string Description { get; set; }
 
-    [VectorStoreRecordVector(384, DistanceFunction.CosineSimilarity)]
+    [VectorStoreRecordVector(Dimensions: 384, DistanceFunction = DistanceFunction.CosineSimilarity)]
     public ReadOnlyMemory<float> Vector { get; set; }
 }

docs/ai/quickstarts/snippets/chat-with-data/azure-openai/Program.cs

@@ -64,27 +64,23 @@
 
 foreach (CloudService service in cloudServices)
 {
-    service.Vector = await generator.GenerateEmbeddingVectorAsync(service.Description);
+    service.Vector = await generator.GenerateVectorAsync(service.Description);
     await cloudServicesStore.UpsertAsync(service);
 }
 // </SnippetVectorStore>
 
 // <SnippetSearch>
 // Convert a search query to a vector and search the vector store
 string query = "Which Azure service should I use to store my Word documents?";
-ReadOnlyMemory<float> queryEmbedding = await generator.GenerateEmbeddingVectorAsync(query);
+ReadOnlyMemory<float> queryEmbedding = await generator.GenerateVectorAsync(query);
 
-VectorSearchResults<CloudService> results =
-    await cloudServicesStore.VectorizedSearchAsync(queryEmbedding, new VectorSearchOptions<CloudService>()
-    {
-        Top = 1
-    });
+List<VectorSearchResult<CloudService>> results =
+    await cloudServicesStore.SearchEmbeddingAsync(queryEmbedding, top: 1).ToListAsync();
 
-await foreach (VectorSearchResult<CloudService> result in results.Results)
+foreach (VectorSearchResult<CloudService> result in results)
 {
     Console.WriteLine($"Name: {result.Record.Name}");
     Console.WriteLine($"Description: {result.Record.Description}");
     Console.WriteLine($"Vector match score: {result.Score}");
-    Console.WriteLine();
 }
 // </SnippetSearch>

docs/ai/quickstarts/snippets/chat-with-data/azure-openai/VectorDataAI.csproj

@@ -1,20 +1,22 @@
-<Project Sdk="Microsoft.NET.Sdk">
+<Project Sdk="Microsoft.NET.Sdk">
 
   <PropertyGroup>
     <OutputType>Exe</OutputType>
-    <TargetFramework>net8.0</TargetFramework>
+    <TargetFramework>net9.0</TargetFramework>
     <ImplicitUsings>enable</ImplicitUsings>
     <Nullable>enable</Nullable>
+    <UserSecretsId>5981f38c-e59c-46cc-80bb-463f8c3f1691</UserSecretsId>
   </PropertyGroup>
 
   <ItemGroup>
     <PackageReference Include="Azure.Identity" Version="1.13.2" />
     <PackageReference Include="Azure.AI.OpenAI" Version="2.1.0" />
-    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="9.4.0-preview.1.25207.5" />
-    <PackageReference Include="Microsoft.Extensions.VectorData.Abstractions" Version="9.0.0-preview.1.25161.1" />
-    <PackageReference Include="Microsoft.SemanticKernel.Connectors.InMemory" Version="1.41.0-preview" />
+    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="9.4.3-preview.1.25230.7" />
+    <PackageReference Include="Microsoft.Extensions.VectorData.Abstractions" Version="9.0.0-preview.1.25229.1" />
+    <PackageReference Include="Microsoft.SemanticKernel.Connectors.InMemory" Version="1.48.0-preview" />
     <PackageReference Include="Microsoft.Extensions.Configuration" Version="10.0.0-preview.3.25171.5" />
     <PackageReference Include="Microsoft.Extensions.Configuration.UserSecrets" Version="10.0.0-preview.3.25171.5" />
+    <PackageReference Include="System.Linq.AsyncEnumerable" Version="10.0.0-preview.3.25171.5" />
   </ItemGroup>
 
 </Project>