az search service create --name my-search --sku standard --resource-group my-rg

dotnet add package Azure.Search.Documents

var embedding = await openAiClient.GetEmbeddingsAsync("text-embedding-ada-002", "Nội dung tài liệu cần mã hóa");

var client = new SearchClient(new Uri(endpoint), indexName, new AzureKeyCredential(apiKey));

await client.UploadDocumentsAsync(new[] 
{ 
    new 
    { 
        id = "doc1", 
        content = "Azure OpenAI enables powerful GPT models...", 
        contentVector = embeddingVector 
    } 
});

var options = new SearchOptions
{
    Vector = embeddingBytes,
    VectorFields = { "contentVector" },
    QueryType = SearchQueryType.Semantic,
    SemanticConfigurationName = "default",
    Size = 5
};

Response<SearchResults<SearchDocument>> response = await client.SearchAsync("azure ai", options);

var openAi = new AzureOpenAIClient(new Uri(openAiEndpoint), new AzureKeyCredential(openAiKey));
var chat = openAi.GetChatCompletionsClient("gpt-35-turbo");

var resultDoc = response.Value.GetResults().First();
string resultContent = resultDoc.Document["content"].ToString();

var completion = await chat.GetChatCompletionsAsync(new ChatCompletionsOptions
{
    Messages = 
    {
        new ChatMessage(ChatRole.System, "You are an AI assistant."),
        new ChatMessage(ChatRole.User, $"Answer based on: {resultContent}\n\nQuery: azure ai")
    },
    Temperature = 0.7f,
    MaxTokens = 256
});

Console.WriteLine(completion.Value.Choices[0].Message.Content);