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/openai in the dotnet group

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

@@ -77,9 +77,10 @@ Complete the following steps to create a .NET console app that can:
     dotnet add package Microsoft.SemanticKernel.Connectors.InMemory --prerelease
     dotnet add package Microsoft.Extensions.Configuration
     dotnet add package Microsoft.Extensions.Configuration.UserSecrets
+    dotnet add package System.Linq.AsyncEnumerable
     ```
 
-    The following list describes what each package is used for in the `VectorDataAI` app:
+    The following list describes each package in the `VectorDataAI` app:
 
     - [`Azure.Identity`](https://www.nuget.org/packages/Azure.Identity) provides [`Microsoft Entra ID`](/entra/fundamentals/whatis) token authentication support across the Azure SDK using classes such as `DefaultAzureCredential`.
     - [`Azure.AI.OpenAI`](https://www.nuget.org/packages/Azure.AI.OpenAI) is the official package for using OpenAI's .NET library with the Azure OpenAI Service.
@@ -98,9 +99,10 @@ Complete the following steps to create a .NET console app that can:
     dotnet add package Microsoft.SemanticKernel.Connectors.InMemory --prerelease
     dotnet add package Microsoft.Extensions.Configuration
     dotnet add package Microsoft.Extensions.Configuration.UserSecrets
+    dotnet add package System.Linq.AsyncEnumerable
     ```
 
-    The following list describes what each package is used for in the `VectorDataAI` app:
+    The following list describes each package in the `VectorDataAI` app:
 
     - [`Microsoft.Extensions.AI.OpenAI`](https://www.nuget.org/packages/Microsoft.Extensions.AI.OpenAI) provides AI abstractions for OpenAI-compatible models or endpoints. This library also includes the official [`OpenAI`](https://www.nuget.org/packages/OpenAI) library for the OpenAI service API as a dependency.
     - [`Microsoft.SemanticKernel.Connectors.InMemory`](https://www.nuget.org/packages/Microsoft.SemanticKernel.Connectors.InMemory) provides an in-memory vector store class to hold queryable vector data records.

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

@@ -1,19 +1,18 @@
 using Microsoft.Extensions.VectorData;
 
-namespace VectorDataAI
+namespace VectorDataAI;
+
+internal class CloudService
 {
-    internal class CloudService
-    {
-        [VectorStoreRecordKey]
-        public int Key { get; set; }
+    [VectorStoreRecordKey]
+    public int Key { get; set; }
 
-        [VectorStoreRecordData]
-        public string Name { get; set; }
+    [VectorStoreRecordData]
+    public string Name { get; set; }
 
-        [VectorStoreRecordData]
-        public string Description { get; set; }
+    [VectorStoreRecordData]
+    public string Description { get; set; }
 
-        [VectorStoreRecordVector(384, DistanceFunction.CosineSimilarity)]
-        public ReadOnlyMemory<float> Vector { get; set; }
-    }
+    [VectorStoreRecordVector(384, DistanceFunction.CosineSimilarity)]
+    public ReadOnlyMemory<float> Vector { get; set; }
 }

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

@@ -13,7 +13,7 @@ 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/openai/Program.cs

@@ -58,24 +58,20 @@
 
 foreach (CloudService service in cloudServices)
 {
-    service.Vector = await generator.GenerateEmbeddingVectorAsync(service.Description);
+    service.Vector = await generator.GenerateVectorAsync(service.Description);
     await cloudServicesStore.UpsertAsync(service);
 }
 
 // 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();
 }

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

@@ -8,11 +8,12 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <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>