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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(Environment.GetEnvironmentVariable("OPENAI_API_KEY"))
    .Build<MemoryServerless>();

await memory.ImportDocumentAsync(new Document("doc012")
    .AddFiles([ "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, create a appsettings.development.json file (or edit appsettings.json), overriding the values. The most important are endpoints and authentication details.

Note: the information stored in appsettings.Development.json are used only 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 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, execute dotnet run from this folder.