voyage-law-2

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

• voyage-law-2

Model Overview

This model leads the MTEB leaderboard for legal retrieval by a significant margin, outperforming OpenAI v3 large by an average of 6% across eight legal retrieval datasets and by over 10% on three key benchmarks (LeCaRDv2, LegalQuAD, and GerDaLIR). With a 16K context length and training on extensive long-context legal documents, voyage-law-2 excels in retrieving information across lengthy texts. Notably, it also matches or surpasses performance on general-purpose corpora across domains.

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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: 88

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

201Success

No content