voyage-multilingual-2

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

• voyage-multilingual-2

Model Overview

Optimized for multilingual retrieval and retrieval-augmented generation (RAG), this model surpasses alternatives like OpenAI v3 large and Cohere multilingual v3 across most languages, including French, German, Japanese, Spanish, and Korean. On average, it outperforms the second-best model by 5.6%, while maintaining strong performance in English. Additionally, it supports a large 32K context length.

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API Schema

post

Authorizations

Body

modelundefined · enumRequiredPossible values:

inputany ofRequired

Input text to embed, encoded as a string or array of tokens.

string · min: 1 · max: 8000Optional

or

string[]Optional

input_typestring · enumOptional

The type of input data for the model.

Default: documentPossible values:

encoding_formatstringOptional

The format in which to return the embeddings.

Responses

201Success

post

HTTPcURLJavaScriptPython

POST /v1/embeddings HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer <YOUR_AIMLAPI_KEY>
Content-Type: application/json
Accept: */*
Content-Length: 97

{
  "model": "voyage-multilingual-2",
  "input": "text",
  "input_type": "document",
  "encoding_format": "text"
}

201Success

No content