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OpenAPI Specification
openapi: 3.2.0
info:
title: Voyage AI Embeddings API
version: 1.0.0
summary: Embeddings, multimodal embeddings, contextualized embeddings, and reranking from Voyage AI.
description: 'OpenAI-compatible REST API for Voyage AI embedding and reranker models used in
retrieval-augmented generation (RAG) and semantic search workflows.
Documentation: https://docs.voyageai.com/reference/embeddings-api
'
contact:
name: Voyage AI Docs
url: https://docs.voyageai.com/
servers:
- url: https://api.voyageai.com/v1
description: Voyage AI production API
security:
- bearerAuth: []
tags:
- name: Embeddings
description: Dense text embeddings.
paths:
/embeddings:
post:
tags:
- Embeddings
summary: Create text embeddings
operationId: createEmbeddings
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/EmbeddingsRequest'
responses:
'200':
description: Embeddings response
content:
application/json:
schema:
$ref: '#/components/schemas/EmbeddingsResponse'
'401':
$ref: '#/components/responses/Unauthorized'
'429':
$ref: '#/components/responses/RateLimited'
components:
schemas:
Usage:
type: object
properties:
total_tokens:
type: integer
EmbeddingsRequest:
type: object
required:
- input
- model
properties:
input:
oneOf:
- type: string
- type: array
items:
type: string
maxItems: 1000
description: A single string or list of strings (max 1000) to embed.
model:
type: string
examples:
- voyage-3.5
- voyage-3-large
- voyage-code-3
- voyage-finance-2
- voyage-law-2
- voyage-4
- voyage-4-large
- voyage-4-lite
input_type:
type: string
enum:
- query
- document
description: Optimization hint for downstream retrieval use.
truncation:
type: boolean
default: true
output_dimension:
type: integer
enum:
- 256
- 512
- 1024
- 2048
output_dtype:
type: string
enum:
- float
- int8
- uint8
- binary
- ubinary
default: float
encoding_format:
type: string
enum:
- base64
Error:
type: object
properties:
detail:
type: string
EmbeddingsResponse:
type: object
properties:
object:
type: string
examples:
- list
data:
type: array
items:
type: object
properties:
object:
type: string
examples:
- embedding
index:
type: integer
embedding:
oneOf:
- type: array
items:
type: number
- type: string
description: Base64-encoded vector when `encoding_format=base64`.
model:
type: string
usage:
$ref: '#/components/schemas/Usage'
responses:
RateLimited:
description: Rate limit exceeded
content:
application/json:
schema:
$ref: '#/components/schemas/Error'
Unauthorized:
description: Missing or invalid API key
content:
application/json:
schema:
$ref: '#/components/schemas/Error'
securitySchemes:
bearerAuth:
type: http
scheme: bearer
bearerFormat: API key
description: 'Voyage AI API key sent as `Authorization: Bearer <key>`.'