# Voyage AI

**Canonical:** https://apis.io/providers/voyage-ai/  
**Website:** https://www.voyageai.com/  
**APIs profiled:** 9

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.

## Kin Score — 33.1 / 100 (thin)

Scored 2026-08-25 under rubric 0.14.0. Trend: flat (+0.0 from 33.1).

| Facet | Score |
|---|---|
| Discoverability | 74.1 |
| Contract Quality | 51.7 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 26.3 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 39.5 |
| Access Clarity | 39.5 |

## Agent readiness — 18.0 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | bearer |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |

## Access

Free — onboarding: unknown, pricing: free, trial: no (confidence: medium).

## APIs (9)

- **Voyage AI Rerank API** — 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...
- **Voyage AI Multimodal Embeddings API** — 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, enabli...
- **Voyage AI Contextualized Embeddings API** — Endpoint that embeds chunks while conditioning on surrounding document context, improving recall for long-document RAG workflows where chunk embeddings would otherwise lose docu...
- **Voyage AI Python SDK** — Official Python client (voyageai) wrapping the embeddings, multimodal, contextualized, and reranking endpoints with batching, retries, and async support.
- **Voyage AI TypeScript SDK** — Official TypeScript / JavaScript client for the Voyage AI REST API.
- **Voyage AI Contextualized API** — Embed chunks conditioned on surrounding document context.
- **Voyage AI Embeddings API** — Dense text embeddings.
- **Voyage AI Multimodal API** — Embed interleaved text and images in a shared vector space.
- **Voyage AI Rerank API** — Cross-encoder reranking of candidate documents.

## Security (1)

- **Voyage Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **Voyage Ai Plans Pricing**

## Tags

Embeddings, Rerankers, RAG, Semantic Search, AI Models, Vector Search, Multi-Modal

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/voyage-ai/). Scores are computed from the provider's own public artifacts under a published rubric.