为搜索查询和文档生成嵌入项

using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
using Newtonsoft.Json;

class Program
{
    static async Task Main(string[] args)
    {
        var apiKey = "YOUR-API-KEY";
        var apiBase = "https://YOUR-OPENAI-RESOURCE.openai.azure.com";
        var apiVersion = "2024-02-01";
        var engine = "text-embedding-ada-002";

        var client = new HttpClient();
        client.DefaultRequestHeaders.Add("Authorization", $"Bearer {apiKey}");

        var requestBody = new
        {
            input = "How do I use C# in VS Code?"
        };

        var response = await client.PostAsync(
            $"{apiBase}/openai/deployments/{engine}/embeddings?api-version={apiVersion}",
            new StringContent(JsonConvert.SerializeObject(requestBody), Encoding.UTF8, "application/json")
        );

        var responseBody = await response.Content.ReadAsStringAsync();
        Console.WriteLine(responseBody);
    }
}

import java.net.HttpURLConnection;
import java.net.URL;
import java.io.OutputStream;
import java.io.BufferedReader;
import java.io.InputStreamReader;

public class Main {
    public static void main(String[] args) {
        String apiKey = "YOUR-API-KEY";
        String apiBase = "https://YOUR-OPENAI-RESOURCE.openai.azure.com";
        String engine = "text-embedding-ada-002";
        String apiVersion = "2024-02-01";

        try {
            URL url = new URL(String.format("%s/openai/deployments/%s/embeddings?api-version=%s", apiBase, engine, apiVersion));
            HttpURLConnection connection = (HttpURLConnection) url.openConnection();
            connection.setRequestMethod("POST");
            connection.setRequestProperty("Authorization", "Bearer " + apiKey);
            connection.setRequestProperty("Content-Type", "application/json");
            connection.setDoOutput(true);

            String requestBody = "{\"input\": \"How do I use Java in VS Code?\"}";

            try (OutputStream os = connection.getOutputStream()) {
                os.write(requestBody.getBytes());
            }

            try (BufferedReader br = new BufferedReader(new InputStreamReader(connection.getInputStream()))) {
                StringBuilder response = new StringBuilder();
                String line;
                while ((line = br.readLine()) != null) {
                    response.append(line);
                }
                System.out.println(response);
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

const apiKey = "YOUR-API-KEY";
const apiBase = "https://YOUR-OPENAI-RESOURCE.openai.azure.com";
const engine = "text-embedding-ada-002";
const apiVersion = "2024-02-01";

async function generateEmbedding() {
  const response = await fetch(
    `${apiBase}/openai/deployments/${engine}/embeddings?api-version=${apiVersion}`,
    {
      method: "POST",
      headers: {
        "Authorization": `Bearer ${apiKey}`,
        "Content-Type": "application/json",
      },
      body: JSON.stringify({
        input: "How do I use JavaScript in VS Code?",
      }),
    }
  );

  const data = await response.json();
  console.log(data.data[0].embedding);
}

generateEmbedding();

!pip install openai

import openai

openai.api_type = "azure"
openai.api_key = "YOUR-API-KEY"
openai.api_base = "https://YOUR-OPENAI-RESOURCE.openai.azure.com"
openai.api_version = "2024-02-01"

response = openai.Embedding.create(
    input="How do I use Python in VS Code?",
    engine="text-embedding-ada-002"
)
embeddings = response['data'][0]['embedding']
print(embeddings)

POST https://YOUR-OPENAI-RESOURCE.openai.azure.com/openai/deployments/text-embedding-ada-002/embeddings?api-version=2024-02-01
  Authorization: Bearer YOUR-API-KEY
  Content-Type: application/json

  {
    "input": "How do I use REST APIs in VS Code?"
  }