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
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
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