public class SearchPlugin()

in src/Blazor.AI.Web/Plugins/SearchPlugin.cs [25:64]
26 lines of code
2 McCabe index (conditional complexity)

public class SearchPlugin(ITextEmbeddingGenerationService textEmbeddingGenerationService, SearchIndexClient indexClient)
{
    [KernelFunction("contoso_search")]
    [Description("Search documents for employer Contoso")]
    public async Task<string> SearchAsync([Description("The users optimized semantic search query")] string query)
    {
        // Convert string query to vector
        ReadOnlyMemory<float> embedding = await textEmbeddingGenerationService.GenerateEmbeddingAsync(query);

        // Set the index to use in AI Search, the hard coded "demo" index was established in the SeedData project
        SearchClient searchClient = indexClient.GetSearchClient("demo");

        // Configure request parameters
        VectorizedQuery vectorQuery = new(embedding);
        vectorQuery.Fields.Add("contentVector"); // name of the vector field from Azure AI Search schema established in the SeedData project 

        // Perform search request
        SearchOptions searchOptions = new() { VectorSearch = new VectorSearchOptions { Queries = { vectorQuery } } };
        Response<SearchResults<RAGSearchDocument>> response = await searchClient.SearchAsync<RAGSearchDocument>(searchOptions);

        // Collect search results
        await foreach (SearchResult<RAGSearchDocument> result in response.Value.GetResultsAsync())
        {
            return result.Document.Content; // Return text from first result
        }

        return string.Empty;
    }

    //This schema comes from the Azure AI Search model established in the SeedData project
    // ReSharper disable once ClassNeverInstantiated.Local
    private sealed class RAGSearchDocument
    {
        [JsonPropertyName("title")]
        public string Title { get; init; } = string.Empty;

        [JsonPropertyName("content")]
        public string Content { get; init; } = string.Empty;
    }
}