Kernel Memory with Azure OpenAI, Blob storage and AI Search services

Kernel Memory with Azure OpenAI,
Blob storage and AI Search.

Azure Open AI

On AzureOpenAI resource, deploy gpt-4 chat completion model and text-embedding-ada-002 embedding model

var builder = new KernelMemoryBuilder()
    .WithAzureOpenAITextGeneration(
        new AzureOpenAIConfig
        {
            Auth = AzureOpenAIConfig.AuthTypes.APIKey,
            APIKey = "Your AzureOpenAI api key",
            Endpoint = "https://your-azure-open-ai-resource-name.openai.azure.com",
            Deployment = "gpt-4"
        })
    .WithAzureOpenAITextEmbeddingGeneration(
        new AzureOpenAIConfig
        {
            Auth = AzureOpenAIConfig.AuthTypes.APIKey,
            APIKey = "Your AzureOpenAI api key",
            Endpoint = "https://your-azure-open-ai-resource-name.openai.azure.com",
            Deployment = "text-embedding-ada-002"
        });

Azure storage account

Azure blob storage to store kenerl memory pipeline artifacts

var builder = new KernelMemoryBuilder()
    .WithAzureBlobsDocumentStorage(
        new AzureBlobsConfig
        {
            Account = "your-blob-storage-account",
            Auth = AzureBlobsConfig.AuthTypes.AccountKey,
            AccountKey = "your-blob-account-key",
            Container = "document-ingestion"
        })

Azure AI Search service

Azure AI search service as vector databases

var builder = new KernelMemoryBuilder()
    .WithAzureAISearchMemoryDb(
        new AzureAISearchConfig
        {
            Endpoint = "https://your-search-service-resource-name.search.windows.net",
            Auth = AzureAISearchConfig.AuthTypes.APIKey,
            APIKey = "your search service api key"
        })

Import some document and ask questions

await kernelMemory.ImportDocumentAsync(
    filePath: "resources/earth_book_2019_tagged.pdf",
    documentId: "earth_book_2019",
    index: "books");

var response =
    await kernelMemory.AskAsync(
        "Where is Amazon rainforest on earth?", 
        index: "books");    

Note the index name "books", kernel memory automatically creates Azure AI Search index name "books" if it does not exist and "books" folder in the blob container.

Sample code here

Please feel free to reach out on twitter @roamingcode