Qwen3-Embedding-8B

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://ap-1.aieev.cloud/endpoints/qwen3-embedding-8b/v1"
)

response = client.embeddings.create(
    model="qwen/qwen3-embedding-8b",
    input=["안녕하세요!", "AirCloud로 모델을 쉽게 배포할 수 있습니다."]
)

for item in response.data:
    print(item.index, len(item.embedding))  # 벡터당 4096차원

curl https://ap-1.aieev.cloud/endpoints/qwen3-embedding-8b/v1/embeddings \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen3-embedding-8b",
    "input": ["안녕하세요!", "AirCloud로 모델을 쉽게 배포할 수 있습니다."]
  }'

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "YOUR_API_KEY",
  baseURL: "https://ap-1.aieev.cloud/endpoints/qwen3-embedding-8b/v1",
});

const response = await client.embeddings.create({
  model: "qwen/qwen3-embedding-8b",
  input: ["안녕하세요!", "AirCloud로 모델을 쉽게 배포할 수 있습니다."],
});

response.data.forEach((item) => {
  console.log(item.index, item.embedding.length); // 벡터당 4096차원
});