Update the CsharpOllamaCodeSpaces c# samples to use phi3.5 and fix RAG errors

.devcontainer/csollamaphi3.5/devcontainer.json

@@ -1,49 +1,44 @@
 {
-    "name": "Ollama with Phi-3.5 for C#",
-    "image": "mcr.microsoft.com/devcontainers/dotnet:9.0",
-    "features": {
-        "ghcr.io/devcontainers/features/docker-in-docker:2": {},
-        "ghcr.io/devcontainers/features/github-cli:1": {},
-        "ghcr.io/devcontainers/features/common-utils:2": {},
-        "ghcr.io/devcontainers/features/dotnet:2": {
-            "version": "none",
-            "dotnetRuntimeVersions": "8.0",
-            "aspNetCoreRuntimeVersions": "8.0"
-        },
-        "ghcr.io/prulloac/devcontainer-features/ollama:1": {
-            "pull": "phi3"
-        },
-        "sshd": "latest"
+  "name": "Ollama with Phi-3.5 for C#",
+  "image": "mcr.microsoft.com/devcontainers/dotnet:9.0",
+  "features": {
+    "ghcr.io/devcontainers/features/docker-in-docker:2": {},
+    "ghcr.io/devcontainers/features/github-cli:1": {},
+    "ghcr.io/devcontainers/features/common-utils:2": {},
+    "ghcr.io/prulloac/devcontainer-features/ollama:1": {
+      "pull": "phi3.5"
     },
-    "customizations": {
-        "vscode": {
-            "extensions": [
-                "ms-vscode.vscode-node-azure-pack",
-                "github.vscode-github-actions",
-                "ms-dotnettools.csdevkit",
-				"ms-dotnettools.vscode-dotnet-runtime",
-                "github.copilot",
-                "ms-azuretools.vscode-docker"
-            ]
-        }
-    },
-    "forwardPorts": [
-        32000,
-        32001
-    ],
-    "postCreateCommand": "sudo dotnet workload update",
-    "postStartCommand": "ollama pull phi3.5",
-    "remoteUser": "vscode",
-    "hostRequirements": {
-        "memory": "8gb",
-        "cpus": 4
+    "sshd": "latest"
+  },
+  "customizations": {
+    "vscode": {
+      "extensions": [
+        "ms-vscode.vscode-node-azure-pack",
+        "github.vscode-github-actions",
+        "ms-dotnettools.csdevkit",
+        "ms-dotnettools.vscode-dotnet-runtime",
+        "github.copilot",
+        "ms-azuretools.vscode-docker"
+      ]
+    }
+  },
+  "forwardPorts": [
+    32000,
+    32001
+  ],
+  "postCreateCommand": "sudo dotnet workload update",
+  "postStartCommand": "ollama pull all-minilm",
+  "remoteUser": "vscode",
+  "hostRequirements": {
+    "memory": "8gb",
+    "cpus": 4
+  },
+  "portsAttributes": {
+    "32001": {
+      "label": "Back End"
     },
-    "portsAttributes": {
-        "32001": {
-            "label": "Back End"
-        },
-        "32000": {
-            "label": "Front End"
-        }
+    "32000": {
+      "label": "Front End"
     }
+  }
 }

md/07.Labs/CsharpOllamaCodeSpaces/src/Sample01/Program.cs

@@ -21,20 +21,19 @@
 //    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 //    THE SOFTWARE.
 
-#pragma warning disable SKEXP0001, SKEXP0003, SKEXP0010, SKEXP0011, SKEXP0050, SKEXP0052
+#pragma warning disable SKEXP0001, SKEXP0003, SKEXP0010, SKEXP0011, SKEXP0050, SKEXP0052, SKEXP0070
+
 using Microsoft.SemanticKernel;
-using Microsoft.SemanticKernel.ChatCompletion;
 using Microsoft.SemanticKernel.Connectors.OpenAI;
 
+var ollamaEndpoint = "http://localhost:11434";
+var modelIdChat = "phi3.5";
+
 // Create kernel with a custom http address
-var builder = Kernel.CreateBuilder();
-builder.AddOpenAIChatCompletion(
-    modelId: "phi3.5",
-    endpoint: new Uri("http://localhost:11434"),
-    apiKey: "apikey");
-var kernel = builder.Build();
+var kernel = Kernel.CreateBuilder()
+    .AddOllamaChatCompletion(modelId: modelIdChat, endpoint: new Uri(ollamaEndpoint))
+    .Build();
 
-// 14 - define prompt execution settings
 var settings = new OpenAIPromptExecutionSettings
 {
     MaxTokens = 100,

md/07.Labs/CsharpOllamaCodeSpaces/src/Sample01/Sample01.csproj

@@ -1,14 +1,12 @@
 <Project Sdk="Microsoft.NET.Sdk">
-
   <PropertyGroup>
     <OutputType>Exe</OutputType>
-    <TargetFramework>net8.0</TargetFramework>
+    <TargetFramework>net9.0</TargetFramework>
     <ImplicitUsings>enable</ImplicitUsings>
     <Nullable>enable</Nullable>
   </PropertyGroup>
-
   <ItemGroup>
-    <PackageReference Include="Microsoft.SemanticKernel" Version="1.17.2" />
+    <PackageReference Include="Microsoft.SemanticKernel" Version="1.34.0" />
+    <PackageReference Include="Microsoft.SemanticKernel.Connectors.Ollama" Version="1.34.0-alpha" />
   </ItemGroup>
-
-</Project>
+</Project>

md/07.Labs/CsharpOllamaCodeSpaces/src/Sample02/Program.cs

@@ -21,34 +21,43 @@
 //    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 //    THE SOFTWARE.
 
-#pragma warning disable SKEXP0001, SKEXP0003, SKEXP0010, SKEXP0011, SKEXP0050, SKEXP0052
+#pragma warning disable SKEXP0001, SKEXP0003, SKEXP0010, SKEXP0011, SKEXP0050, SKEXP0052, SKEXP0070
+
 using Microsoft.SemanticKernel;
 using Microsoft.SemanticKernel.ChatCompletion;
-using Microsoft.SemanticKernel.Connectors.OpenAI;
+using System.Text;
+
+var ollamaEndpoint = "http://localhost:11434";
+var modelIdChat = "phi3.5";
 
 // Create kernel with a custom http address
-var builder = Kernel.CreateBuilder();
-builder.AddOpenAIChatCompletion(
-    modelId: "phi3.5",
-    endpoint: new Uri("http://localhost:11434"),
-    apiKey: "apikey");
-var kernel = builder.Build();
+var kernel = Kernel.CreateBuilder()
+    .AddOllamaChatCompletion(modelId: modelIdChat, endpoint: new Uri(ollamaEndpoint))
+    .Build();
+
 
 var chat = kernel.GetRequiredService<IChatCompletionService>();
 var history = new ChatHistory();
-history.AddSystemMessage("You are a useful chatbot. If you don't know an answer, say 'I don't know!'. Always reply in a funny ways. Use emojis if possible.");
+history.AddSystemMessage("You always respond in 1 sentence in a funny way. Use emojis if possible.");
 
 while (true)
 {
-    Console.Write("Q:");
+    Console.Write("Q: ");
     var userQ = Console.ReadLine();
     if (string.IsNullOrEmpty(userQ))
     {
         break;
     }
     history.AddUserMessage(userQ);
 
-    var result = await chat.GetChatMessageContentsAsync(history);
-    Console.WriteLine(result[^1].Content);
-    history.Add(result[^1]);
+    Console.Write($"{modelIdChat}: ");    
+    var response = chat.GetStreamingChatMessageContentsAsync(history);
+    var assistantResponse = new StringBuilder();
+    await foreach (var message in response)
+    {
+        Console.Write(message.ToString());
+        assistantResponse.Append(message.ToString());
+    }
+    history.AddAssistantMessage(assistantResponse.ToString());
+    Console.WriteLine();
 }

md/07.Labs/CsharpOllamaCodeSpaces/src/Sample02/Sample02.csproj

@@ -1,15 +1,13 @@
 <Project Sdk="Microsoft.NET.Sdk">
-
   <PropertyGroup>
     <OutputType>Exe</OutputType>
-    <TargetFramework>net8.0</TargetFramework>
+    <TargetFramework>net9.0</TargetFramework>
     <ImplicitUsings>enable</ImplicitUsings>
     <Nullable>enable</Nullable>
     <UserSecretsId>506e8050-acbd-476d-ab7d-bbebc8238bfa</UserSecretsId>
   </PropertyGroup>
-
-	<ItemGroup>
-		<PackageReference Include="Microsoft.SemanticKernel" Version="1.17.2" />
-	</ItemGroup>
-
-</Project>
+  <ItemGroup>
+    <PackageReference Include="Microsoft.SemanticKernel" Version="1.34.0" />
+    <PackageReference Include="Microsoft.SemanticKernel.Connectors.Ollama" Version="1.34.0-alpha" />
+  </ItemGroup>
+</Project>

md/07.Labs/CsharpOllamaCodeSpaces/src/Sample03/Program.cs

@@ -23,87 +23,60 @@
 //    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 //    THE SOFTWARE.
 
-#pragma warning disable SKEXP0001
-#pragma warning disable SKEXP0003
-#pragma warning disable SKEXP0010
-#pragma warning disable SKEXP0011
-#pragma warning disable SKEXP0050
-#pragma warning disable SKEXP0052
+#pragma warning disable SKEXP0001, SKEXP0003, SKEXP0010, SKEXP0011, SKEXP0050, SKEXP0052, SKEXP0070
 
-using Microsoft.Extensions.DependencyInjection;
+using Microsoft.KernelMemory;
+using Microsoft.KernelMemory.AI.Ollama;
 using Microsoft.SemanticKernel;
-using Microsoft.SemanticKernel.Connectors.OpenAI;
-using Microsoft.SemanticKernel.Embeddings;
-using Microsoft.SemanticKernel.Memory;
-using Microsoft.SemanticKernel.Plugins.Memory;
 
+var ollamaEndpoint = "http://localhost:11434";
+var modelIdChat = "phi3.5";
+var modelIdEmbeddings = "all-minilm";
+
+// questions
 var question = "What is Bruno's favourite super hero?";
+
 Console.WriteLine($"This program will answer the following question: {question}");
-Console.WriteLine("1st approach will be to ask the question directly to the Phi-3 model.");
+Console.WriteLine($"1st approach will be to ask the question directly to the {modelIdChat} model.");
 Console.WriteLine("2nd approach will be to add facts to a semantic memory and ask the question again");
 Console.WriteLine("");
 
 // Create a chat completion service
-var builder = Kernel.CreateBuilder();
-builder.AddOpenAIChatCompletion(
-    modelId: "phi3.5",
-    endpoint: new Uri("http://localhost:11434"),
-    apiKey: "apikey");
-builder.AddLocalTextEmbeddingGeneration();
-Kernel kernel = builder.Build();
-
-Console.WriteLine($"Phi-3 response (no memory).");
+Kernel kernel = Kernel.CreateBuilder()
+    .AddOllamaChatCompletion(modelId: modelIdChat, endpoint: new Uri(ollamaEndpoint))
+    .Build();
 var response = kernel.InvokePromptStreamingAsync(question);
 await foreach (var result in response)
 {
-    Console.Write(result);
+    Console.Write(result.ToString());
 }
 
 // separator
 Console.WriteLine("");
 Console.WriteLine("==============");
 Console.WriteLine("");
+Console.WriteLine($"{modelIdChat} response (using semantic memory).");
 
-// get the embeddings generator service
-var embeddingGenerator = kernel.Services.GetRequiredService<ITextEmbeddingGenerationService>();
-var memory = new SemanticTextMemory(new VolatileMemoryStore(), embeddingGenerator);
-
-// add facts to the collection
-const string MemoryCollectionName = "fanFacts";
-
-await memory.SaveInformationAsync(MemoryCollectionName, id: "info1", text: "Gisela's favourite super hero is Batman");
-await memory.SaveInformationAsync(MemoryCollectionName, id: "info2", text: "The last super hero movie watched by Gisela was Guardians of the Galaxy Vol 3");
-await memory.SaveInformationAsync(MemoryCollectionName, id: "info3", text: "Bruno's favourite super hero is Invincible");
-await memory.SaveInformationAsync(MemoryCollectionName, id: "info4", text: "The last super hero movie watched by Bruno was Aquaman II");
-await memory.SaveInformationAsync(MemoryCollectionName, id: "info5", text: "Bruno don't like the super hero movie: Eternals");
-
-TextMemoryPlugin memoryPlugin = new(memory);
-
-// Import the text memory plugin into the Kernel.
-kernel.ImportPluginFromObject(memoryPlugin);
-
-OpenAIPromptExecutionSettings settings = new()
+var configOllamaKernelMemory = new OllamaConfig
 {
-    ToolCallBehavior = null,
+    Endpoint = ollamaEndpoint,
+    TextModel = new OllamaModelConfig(modelIdChat),
+    EmbeddingModel = new OllamaModelConfig(modelIdEmbeddings, 2048)
 };
 
+var memory = new KernelMemoryBuilder()
+    .WithOllamaTextGeneration(configOllamaKernelMemory)
+    .WithOllamaTextEmbeddingGeneration(configOllamaKernelMemory)
+    .Build();
 
-var prompt = @"
-    Question: {{$input}}
-    Answer the question using the memory content: {{Recall}}";
+await memory.ImportTextAsync("Gisela's favourite super hero is Batman");
+await memory.ImportTextAsync("The last super hero movie watched by Gisela was Guardians of the Galaxy Vol 3");
+await memory.ImportTextAsync("Bruno's favourite super hero is Invincible");
+await memory.ImportTextAsync("The last super hero movie watched by Bruno was Deadpool and Wolverine");
+await memory.ImportTextAsync("Bruno don't like the super hero movie: Eternals");
 
-var arguments = new KernelArguments(settings)
+var answer = memory.AskStreamingAsync(question);
+await foreach (var result in answer)
 {
-    { "input", question },
-    { "collection", MemoryCollectionName }
-};
-
-Console.WriteLine($"Phi-3 response (using semantic memory).");
-
-response = kernel.InvokePromptStreamingAsync(prompt, arguments);
-await foreach (var result in response)
-{
-    Console.Write(result);
-}
-
-Console.WriteLine($"");
+    Console.Write(result.ToString());
+}

md/07.Labs/CsharpOllamaCodeSpaces/src/Sample03/Sample03.csproj

@@ -1,17 +1,20 @@
 <Project Sdk="Microsoft.NET.Sdk">
-
   <PropertyGroup>
     <OutputType>Exe</OutputType>
-    <TargetFramework>net8.0</TargetFramework>
+    <TargetFramework>net9.0</TargetFramework>
     <RootNamespace>sample03</RootNamespace>
     <ImplicitUsings>enable</ImplicitUsings>
     <Nullable>enable</Nullable>
   </PropertyGroup>
-
-	<ItemGroup>
-    <PackageReference Include="Microsoft.SemanticKernel" Version="1.19.0" />
-		<PackageReference Include="Microsoft.SemanticKernel.Plugins.Memory" Version="1.19.0-alpha" />
-		<PackageReference Include="SmartComponents.LocalEmbeddings.SemanticKernel" Version="0.1.0-preview10148" />
-	</ItemGroup>
-
-</Project>
+  <ItemGroup>
+    <PackageReference Include="Microsoft.KernelMemory.Abstractions" Version="0.96.250120.1" />
+    <PackageReference Include="Microsoft.KernelMemory.AI.Ollama" Version="0.96.250120.1" />
+    <PackageReference Include="Microsoft.KernelMemory.Core" Version="0.96.250120.1" />
+    <PackageReference Include="Microsoft.KernelMemory.SemanticKernelPlugin" Version="0.96.250120.1" />
+    <PackageReference Include="Microsoft.SemanticKernel" Version="1.34.0" />
+    <PackageReference Include="Microsoft.SemanticKernel.Connectors.Ollama" Version="1.34.0-alpha" />
+    <PackageReference Include="Microsoft.SemanticKernel.Plugins.Memory" Version="1.34.0-alpha" />
+    <PackageReference Include="SmartComponents.LocalEmbeddings.SemanticKernel" Version="0.1.0-preview10148" />
+    <PackageReference Include="System.Linq.Async" Version="6.0.1" />
+  </ItemGroup>
+</Project>