Voyage AI

aid: voyage-ai
url: https://raw.githubusercontent.com/api-evangelist/voyage-ai/refs/heads/main/apis.yml
name: Voyage AI
kind: company
description: Voyage AI builds state-of-the-art embedding and reranker models for retrieval-augmented generation (RAG) and
  semantic search. The platform exposes an OpenAI-style REST API at api.voyageai.com/v1 for text embeddings, multimodal embeddings,
  contextualized embeddings, and reranking, with Python and TypeScript SDKs. Model families include voyage-3.x and voyage-4.x
  text embeddings, voyage-code-3, domain-specialised models (voyage-finance-2, voyage-law-2), voyage-multimodal-3, and the
  voyage-rerank-2 reranker family. Voyage AI was acquired by MongoDB in February 2024 and is integrated into MongoDB Atlas
  Vector Search; models are also distributed via AWS Marketplace, Azure Marketplace, and Snowflake.
accessModel:
  pricing: free
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Free
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/voyage-ai.png
tags:
- Embeddings
- Rerankers
- RAG
- Semantic Search
- AI Models
- Vector Search
- Multimodal
created: '2026-05-23'
modified: '2026-05-23'
specificationVersion: '0.19'
apis:
- aid: voyage-ai:embeddings
  name: Voyage AI Embeddings API
  description: OpenAI-compatible REST endpoint that returns dense vector embeddings for input text. Supports model selection
    (voyage-3.5, voyage-3-large, voyage-code-3, voyage-finance-2, voyage-law-2, voyage-4 family), configurable output dimensions
    (256, 512, 1024, 2048), output dtype (float, int8, uint8, binary, ubinary), input_type hints (query or document), and
    batch sizes up to 1000 inputs per request.
  humanURL: https://docs.voyageai.com/reference/embeddings-api
  baseURL: https://api.voyageai.com/v1
  tags:
  - Embeddings
  - Text
  - REST
  properties:
  - type: Documentation
    url: https://docs.voyageai.com/reference/embeddings-api
  - type: OpenAPI
    url: https://docs.voyageai.com/llms.txt
- aid: voyage-ai:rerank
  name: Voyage AI Rerank API
  description: Reranking endpoint that scores a list of candidate documents against a query and returns relevance scores.
    Powered by the voyage-rerank-2 model family, used downstream of vector search to improve retrieval precision in RAG pipelines.
  humanURL: https://docs.voyageai.com/reference/reranker-api
  baseURL: https://api.voyageai.com/v1
  tags:
  - Rerank
  - Retrieval
  - RAG
  properties:
  - type: Documentation
    url: https://docs.voyageai.com/reference/reranker-api
- aid: voyage-ai:multimodal-embeddings
  name: Voyage AI Multimodal Embeddings API
  description: Multimodal embeddings endpoint backed by voyage-multimodal-3 that accepts interleaved text and images in a
    single request and returns embeddings in a shared vector space, enabling cross-modal retrieval for documents that mix
    text, screenshots, charts, and figures.
  humanURL: https://docs.voyageai.com/reference/multimodal-embeddings-api
  baseURL: https://api.voyageai.com/v1
  tags:
  - Embeddings
  - Multimodal
  - Vision
  properties:
  - type: Documentation
    url: https://docs.voyageai.com/reference/multimodal-embeddings-api
- aid: voyage-ai:contextualized-embeddings
  name: Voyage AI Contextualized Embeddings API
  description: Endpoint that embeds chunks while conditioning on surrounding document context, improving recall for long-document
    RAG workflows where chunk embeddings would otherwise lose document-level signal.
  humanURL: https://docs.voyageai.com/reference/contextualized-embeddings-api
  baseURL: https://api.voyageai.com/v1
  tags:
  - Embeddings
  - Contextualized
  - RAG
  properties:
  - type: Documentation
    url: https://docs.voyageai.com/reference/contextualized-embeddings-api
- aid: voyage-ai:python-sdk
  name: Voyage AI Python SDK
  description: Official Python client (voyageai) wrapping the embeddings, multimodal, contextualized, and reranking endpoints
    with batching, retries, and async support.
  humanURL: https://github.com/voyage-ai/voyageai-python
  baseURL: https://github.com/voyage-ai/voyageai-python
  tags:
  - SDK
  - Python
  properties:
  - type: Repository
    url: https://github.com/voyage-ai/voyageai-python
  - type: Package
    url: https://pypi.org/project/voyageai/
- aid: voyage-ai:typescript-sdk
  name: Voyage AI TypeScript SDK
  description: Official TypeScript / JavaScript client for the Voyage AI REST API.
  humanURL: https://github.com/voyage-ai/typescript-sdk
  baseURL: https://github.com/voyage-ai/typescript-sdk
  tags:
  - SDK
  - TypeScript
  - JavaScript
  properties:
  - type: Repository
    url: https://github.com/voyage-ai/typescript-sdk
common:
- type: DomainSecurity
  url: security/voyage-ai-domain-security.yml
- type: LinkedIn
  url: https://www.linkedin.com/company/voyage-ai
- type: Website
  url: https://www.voyageai.com/
- type: Documentation
  url: https://docs.voyageai.com/
- type: GitHub
  url: https://github.com/voyage-ai
- type: Pricing
  url: https://docs.voyageai.com/docs/pricing
- type: Parent
  url: https://www.mongodb.com/
- type: Plans
  url: plans/voyage-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/voyage-ai-rate-limits.yml
- type: FinOps
  url: finops/voyage-ai-finops.yml
- url: https://blog.voyageai.com/feed
  type: Blog
integrations:
- name: MongoDB Atlas Vector Search
- name: AWS Marketplace
- name: Azure Marketplace
- name: Snowflake
- name: LangChain
- name: LlamaIndex
- name: Haystack
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com