.Net: Fixing up new projects merged from main. (#9208)

### Description

Fixing up latest changes from main to match refactoring in branch.

### Contribution Checklist

<!-- Before submitting this PR, please make sure: -->

- [x] The code builds clean without any errors or warnings
- [x] The PR follows the [SK Contribution
Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
and the [pre-submission formatting
script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts)
raises no violations
- [x] All unit tests pass, and I have added new tests where possible
- [x] I didn't break anyone 😄

dotnet/samples/Demos/VectorStoreRAG/DataLoader.cs

@@ -1,6 +1,6 @@
 // Copyright (c) Microsoft. All rights reserved.
 
-using Microsoft.SemanticKernel.Data;
+using Microsoft.Extensions.VectorData;
 using Microsoft.SemanticKernel.Embeddings;
 using UglyToad.PdfPig;
 using UglyToad.PdfPig.Content;

dotnet/samples/Demos/VectorStoreRAG/TextSnippet.cs

@@ -1,6 +1,6 @@
 // Copyright (c) Microsoft. All rights reserved.
 
-using Microsoft.SemanticKernel.Data;
+using Microsoft.Extensions.VectorData;
 
 namespace VectorStoreRAG;
 

dotnet/samples/GettingStartedWithTextSearch/GettingStartedWithTextSearch.csproj

@@ -45,6 +45,7 @@
   <ItemGroup>
     <ProjectReference Include="..\..\src\Connectors\Connectors.AzureOpenAI\Connectors.AzureOpenAI.csproj" />
     <ProjectReference Include="..\..\src\Connectors\Connectors.OpenAI\Connectors.OpenAI.csproj" />
+    <ProjectReference Include="..\..\src\Connectors\Connectors.Memory.InMemory\Connectors.Memory.InMemory.csproj" />
     <ProjectReference Include="..\..\src\Extensions\PromptTemplates.Handlebars\PromptTemplates.Handlebars.csproj" />
     <ProjectReference Include="..\..\src\Plugins\Plugins.Web\Plugins.Web.csproj" />
     <ProjectReference Include="..\..\src\SemanticKernel.Abstractions\SemanticKernel.Abstractions.csproj" />

dotnet/samples/GettingStartedWithTextSearch/InMemoryVectorStoreCollectionFixture.cs

@@ -0,0 +1,8 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+namespace GettingStartedWithTextSearch;
+
+[CollectionDefinition("InMemoryVectorStoreCollection")]
+public class InMemoryVectorStoreCollectionFixture : ICollectionFixture<InMemoryVectorStoreFixture>
+{
+}

dotnet/samples/GettingStartedWithTextSearch/VolatileVectorStoreFixture.cs → dotnet/samples/GettingStartedWithTextSearch/InMemoryVectorStoreFixture.cs

@@ -2,29 +2,31 @@
 
 using System.Reflection;
 using Microsoft.Extensions.Configuration;
+using Microsoft.Extensions.VectorData;
+using Microsoft.SemanticKernel.Connectors.InMemory;
 using Microsoft.SemanticKernel.Connectors.OpenAI;
 using Microsoft.SemanticKernel.Data;
 using Microsoft.SemanticKernel.Embeddings;
 
 namespace GettingStartedWithTextSearch;
 
 /// <summary>
-/// Helper class for setting up and tearing down a <see cref="VolatileVectorStore"/> for testing purposes.
+/// Helper class for setting up and tearing down a <see cref="InMemoryVectorStore"/> for testing purposes.
 /// </summary>
-public class VolatileVectorStoreFixture : IAsyncLifetime
+public class InMemoryVectorStoreFixture : IAsyncLifetime
 {
     public ITextEmbeddingGenerationService TextEmbeddingGenerationService { get; private set; }
 
-    public VolatileVectorStore VolatileVectorStore { get; private set; }
+    public InMemoryVectorStore InMemoryVectorStore { get; private set; }
 
     public IVectorStoreRecordCollection<Guid, DataModel> VectorStoreRecordCollection { get; private set; }
 
     public string CollectionName => "records";
 
     /// <summary>
-    /// Initializes a new instance of the <see cref="VolatileVectorStoreFixture"/> class.
+    /// Initializes a new instance of the <see cref="InMemoryVectorStoreFixture"/> class.
     /// </summary>
-    public VolatileVectorStoreFixture()
+    public InMemoryVectorStoreFixture()
     {
         IConfigurationRoot configRoot = new ConfigurationBuilder()
             .AddJsonFile("appsettings.Development.json", true)
@@ -33,8 +35,8 @@ public VolatileVectorStoreFixture()
             .Build();
         TestConfiguration.Initialize(configRoot);
 
-        // Create a volatile vector store.
-        this.VolatileVectorStore = new VolatileVectorStore();
+        // Create an InMemory vector store.
+        this.InMemoryVectorStore = new InMemoryVectorStore();
 
         // Create an embedding generation service.
         this.TextEmbeddingGenerationService = new OpenAITextEmbeddingGenerationService(
@@ -100,7 +102,7 @@ static DataModel CreateRecord(int index, string text, ReadOnlyMemory<float> embe
 
     /// <summary>
     /// Create a <see cref="IVectorStoreRecordCollection{TKey, TRecord}"/> from a list of strings by:
-    /// 1. Creating an instance of <see cref="VolatileVectorStoreRecordCollection{TKey, TRecord}"/>
+    /// 1. Creating an instance of <see cref="IVectorStoreRecordCollection{TKey, TRecord}"/>
     /// 2. Generating embeddings for each string.
     /// 3. Creating a record with a valid key for each string and it's embedding.
     /// 4. Insert the records into the collection.
@@ -114,7 +116,7 @@ private async Task<IVectorStoreRecordCollection<TKey, TRecord>> CreateCollection
         where TRecord : class
     {
         // Get and create collection if it doesn't exist.
-        var collection = this.VolatileVectorStore.GetCollection<TKey, TRecord>(this.CollectionName);
+        var collection = this.InMemoryVectorStore.GetCollection<TKey, TRecord>(this.CollectionName);
         await collection.CreateCollectionIfNotExistsAsync().ConfigureAwait(false);
 
         // Create records and generate embeddings for them.

dotnet/samples/GettingStartedWithTextSearch/Step4_Search_With_VectorStore.cs

@@ -1,31 +1,32 @@
 // Copyright (c) Microsoft. All rights reserved.
 
+using Microsoft.Extensions.VectorData;
 using Microsoft.SemanticKernel;
 using Microsoft.SemanticKernel.Connectors.OpenAI;
 using Microsoft.SemanticKernel.Data;
 using Microsoft.SemanticKernel.PromptTemplates.Handlebars;
-using static GettingStartedWithTextSearch.VolatileVectorStoreFixture;
+using static GettingStartedWithTextSearch.InMemoryVectorStoreFixture;
 
 namespace GettingStartedWithTextSearch;
 
 /// <summary>
 /// This example shows how to create a <see cref="ITextSearch"/> from a
 /// <see cref="IVectorStore"/>.
 /// </summary>
-[Collection("VolatileVectorStoreCollection")]
-public class Step4_Search_With_VectorStore(ITestOutputHelper output, VolatileVectorStoreFixture fixture) : BaseTest(output)
+[Collection("InMemoryVectorStoreCollection")]
+public class Step4_Search_With_VectorStore(ITestOutputHelper output, InMemoryVectorStoreFixture fixture) : BaseTest(output)
 {
     /// <summary>
     /// Show how to create a <see cref="VectorStoreTextSearch{TRecord}"/> and use it to perform a search.
     /// </summary>
     [Fact]
-    public async Task UsingVolatileVectorStoreRecordTextSearchAsync()
+    public async Task UsingInMemoryVectorStoreRecordTextSearchAsync()
     {
         // Use embedding generation service and record collection for the fixture.
         var textEmbeddingGeneration = fixture.TextEmbeddingGenerationService;
         var vectorizedSearch = fixture.VectorStoreRecordCollection;
 
-        // Create a text search instance using the volatile vector store.
+        // Create a text search instance using the InMemory vector store.
         var textSearch = new VectorStoreTextSearch<DataModel>(vectorizedSearch, textEmbeddingGeneration);
 
         // Search and return results as TextSearchResult items
@@ -45,7 +46,7 @@ public async Task UsingVolatileVectorStoreRecordTextSearchAsync()
     /// add grounding context to a Handlebars prompt.
     /// </summary>
     [Fact]
-    public async Task RagWithVolatileVectorStoreTextSearchAsync()
+    public async Task RagWithInMemoryVectorStoreTextSearchAsync()
     {
         // Create a kernel with OpenAI chat completion
         IKernelBuilder kernelBuilder = Kernel.CreateBuilder();
@@ -58,7 +59,7 @@ public async Task RagWithVolatileVectorStoreTextSearchAsync()
         var textEmbeddingGeneration = fixture.TextEmbeddingGenerationService;
         var vectorizedSearch = fixture.VectorStoreRecordCollection;
 
-        // Create a text search instance using the volatile vector store.
+        // Create a text search instance using the InMemory vector store.
         var textSearch = new VectorStoreTextSearch<DataModel>(vectorizedSearch, textEmbeddingGeneration);
 
         // Build a text search plugin with vector store search and add to the kernel
@@ -96,7 +97,7 @@ Include citations to the relevant information where it is referenced in the resp
     /// function calling to have the LLM include grounding context in it's response.
     /// </summary>
     [Fact]
-    public async Task FunctionCallingWithVolatileVectorStoreTextSearchAsync()
+    public async Task FunctionCallingWithInMemoryVectorStoreTextSearchAsync()
     {
         // Create a kernel with OpenAI chat completion
         IKernelBuilder kernelBuilder = Kernel.CreateBuilder();
@@ -109,7 +110,7 @@ public async Task FunctionCallingWithVolatileVectorStoreTextSearchAsync()
         var textEmbeddingGeneration = fixture.TextEmbeddingGenerationService;
         var vectorizedSearch = fixture.VectorStoreRecordCollection;
 
-        // Create a text search instance using the volatile vector store.
+        // Create a text search instance using the InMemory vector store.
         var textSearch = new VectorStoreTextSearch<DataModel>(vectorizedSearch, textEmbeddingGeneration);
 
         // Build a text search plugin with vector store search and add to the kernel