text-embedding-3-large

curl https://runapi.ai/v1/embeddings \
  -H "Authorization: Bearer $RUNAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "text-embedding-3-large",
  "input": [
    "將這些支援文章和客戶查詢轉成 embeddings，好讓我排序最接近的匹配結果。"
  ],
  "encoding_format": "float"
}'

from openai import OpenAI

client = OpenAI(
    base_url="https://runapi.ai/v1",
    api_key="your-runapi-key"
)

response = client.chat.completions.create(
    model="text-embedding-3-large",
    messages=[{"role": "user", "content": "將這些支援文章和客戶查詢轉成 embeddings，好讓我排序最接近的匹配結果。"}]
)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://runapi.ai/v1",
  apiKey: "your-runapi-key"
});

const response = await client.chat.completions.create({
  model: "text-embedding-3-large",
  messages: [{ role: "user", content: "將這些支援文章和客戶查詢轉成 embeddings，好讓我排序最接近的匹配結果。" }]
});