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 · enumRequiredPossible values:

inputany ofRequired

string · min: 1Optional

or

string[] · min: 1Optional

dimensionsnumber | nullableOptional

auto_truncatebooleanOptionalDefault: true

task_typestring · enumOptionalPossible values:

titlestringOptional

encoding_formatstringOptional

Responses

201Success

post

HTTPcURLJavaScriptPython

POST /v1/embeddings HTTP/1.1
Host: api.apilaplas.com
Authorization: Bearer <YOUR_LAPLASAPI_KEY>
Content-Type: application/json
Accept: */*
Content-Length: 164

{
  "model": "text-multilingual-embedding-002",
  "input": "text",
  "dimensions": 1,
  "auto_truncate": true,
  "task_type": "RETRIEVAL_QUERY",
  "title": "text",
  "encoding_format": "text"
}

201Success

No content