嵌入

文本嵌入向量生成接口，用于语义搜索、文本相似度计算、聚类等场景。

创建嵌入 POST

POST https://flashapi.ai/v1/embeddings

请求参数

参数	类型	必填	说明
model	string	✅	嵌入模型，如 text-embedding-3-small
input	string/array	✅	待嵌入的文本或文本数组
encoding_format	string		返回格式：float 或 base64
dimensions	integer		输出维度（部分模型支持）

示例请求

cURLPythonJavaScript bash

curl -X POST "https://flashapi.ai/v1/embeddings" \

 -H "Content-Type: application/json" \

 -H "Authorization: Bearer sk-xxxx" \

 -d '{

 "model": "text-embedding-3-small",

 "input": "你好世界"

 }'

python

from openai import OpenAI

client = OpenAI(

 api_key="sk-xxxx",

 base_url="https://flashapi.ai/v1"

)

response = client.embeddings.create(

 model="text-embedding-3-small",

 input="你好世界"

)

print(response.data[0].embedding[:5])

javascript

import OpenAI from 'openai';

const client = new OpenAI({

 apiKey: 'sk-xxxx',

 baseURL: 'https://flashapi.ai/v1',

});

const response = await client.embeddings.create({

 model: 'text-embedding-3-small',

 input: '你好世界',

});

console.log(response.data[0].embedding.slice(0, 5));

响应

json

{

 "object": "list",

 "data": [

 {

 "object": "embedding",

 "index": 0,

 "embedding": [0.0023, -0.0094, 0.0156, 0.0283, -0.0045]

 }

 ],

 "model": "text-embedding-3-small",

 "usage": {

 "prompt_tokens": 4,

 "total_tokens": 4

 }

}