voyage-code-2

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

• voyage-code-2

Model Overview

This embedding model is designed for semantic retrieval of code and related text from both natural language and code-based queries. In a comprehensive evaluation across 11 code retrieval tasks—sourced from popular datasets like HumanEval and MBPP—it achieved a significant 14.52% improvement in recall over competitors, including OpenAI and Cohere. Additionally, it demonstrated consistent gains, averaging 3.03%, across various general-purpose text datasets.

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API Schema

post

/v1/embeddings

Authorizations

Body

encoding_formatstring

modelundefined · enumrequired

Options: voyage-code-2

input_typestring · enum · default: document

Options: document

inputany ofrequired

Responses

cURL

JavaScript

Python

HTTP

cURL

curl -L \
  --request POST \
  --url 'https://api.aimlapi.com/v1/embeddings' \
  --header 'Authorization: Bearer JWT' \
  --header 'Content-Type: application/json' \
  --data '{
    "encoding_format": "text",
    "model": "voyage-code-2",
    "input_type": "document",
    "input": "text"
  }'

201

201

No body