Text Embedding 3 Small

Text Embedding 3 Small is a text embedding model from OpenAI. Call text-embedding-3-small through MixRoute using the endpoint shown below.

Key capabilities

Vector embeddings - Convert text into numeric vectors
Batch input - Accept a string or an array of strings
Similarity workflows - Use vectors for search and clustering

Quick example

cURL
Python

curl "https://api.mixroute.ai/v1/embeddings" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "text-embedding-3-small",
  "input": "MixRoute model API"
}'

import requests

response = requests.post(
    "https://api.mixroute.ai/v1/embeddings",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={'model': 'text-embedding-3-small', 'input': 'MixRoute model API'},
)

print(response.json())

Parameters

Parameter	Type	Required	Description
`model`	string	Yes	Must be `text-embedding-3-small`.
`input`	string \| array	Yes	Text or text array to embed.
`dimensions`	integer	No	Requested output dimensions when supported.
`encoding_format`	string	No	Embedding encoding format.

GPT-3.5 Turbo Text Embedding 3 Large

Home

Model Introduction

Key capabilities

Quick example

Parameters

​Key capabilities

​Quick example

​Parameters

Key capabilities

Quick example

Parameters