text-multilingual-embedding-002

This documentation is valid for the following list of our models:

• text-multilingual-embedding-002

Model Overview

A state-of-the-art model designed to convert textual data into numerical vector representations, capturing the semantic meaning and context of the input text. It is particularly focused on supporting multiple languages, making it suitable for global applications.

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API Schema

post

Authorizations

Body

modelundefined · enumrequired

Options: text-multilingual-embedding-002

inputany ofrequired

dimensionsnumber | nullable

auto_truncateboolean · default: true

task_typestring · enum

Options: RETRIEVAL_QUERY, RETRIEVAL_DOCUMENT, SEMANTIC_SIMILARITY, CLASSIFICATION, CLUSTERING, QUESTION_ANSWERING, FACT_VERIFICATION

titlestring

encoding_formatstring

Responses

cURL

JavaScript

Python

HTTP

cURL

curl -L \
  --request POST \
  --url 'https://api.aimlapi.com/v1/embeddings' \
  --header 'Authorization: Bearer <YOUR_AIMLAPI_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "text-multilingual-embedding-002",
    "input": "text",
    "dimensions": 1,
    "auto_truncate": true,
    "task_type": "RETRIEVAL_QUERY",
    "title": "text",
    "encoding_format": "text"
  }'

201

201

No body