003-dotnet-Serverless

Example: serverless, no deployment, using <MemoryServerlessClient>

This example shows how to import multiple files and ask questions, without deploying the Kernel Memory Service.

All the logic is executed locally using the default C# handlers. Depending on your settings, files can be stored locally or in Azure Blobs.

// Use the memory builder to customize credentials and dependencies
var memory = new KernelMemoryBuilder()
    .WithOpenAIDefaults(Env.Var("OPENAI_API_KEY"))
    .Build<MemoryServerless>();

await memory.ImportDocumentAsync(new Document("doc012")
    .AddFiles(new[] {
        "file2.txt",
        "file3.docx",
        "file4.pdf"
    })
    .AddTag("user", "Blake"));

string answer = await memory.AskAsync("What's Semantic Kernel?");

Prepare the example

Before running the code, from the folder run this command:

dotnet run setup

The app will ask a few questions about your configuration, storing the required information in appsettings.Development.json. This file is used when the env var ASPNETCORE_ENVIRONMENT is set to Development. Look at the comments in appsettings.json for details and more advanced options.

You can run the command again later to edit the file, or edit it manually for advanced configurations.

You can find more details about the configuration options in appsettings.json, and more info about .NET configurations at https://learn.microsoft.com/aspnet/core/fundamentals/configuration

Run the example

To run the example, depending on your platform, execute either run.sh or run.cmd.