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:
    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'
    Usage:
      type: object
      properties:
        total_tokens:
          type: integer
  responses:
    Unauthorized:
      description: Missing or invalid API key
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error'
    RateLimited:
      description: Rate limit exceeded
      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>`.'