Voyage AI
Voyage AI, now part of MongoDB, develops embedding and reranking models for search and retrieval over unstructured data. Its offerings are aimed at builders of retrieval-augmented generation (RAG) and AI applications that need high-precision retrieval. The company provides models available through major cloud providers and data platforms, with SaaS, in-VPC customer tenant, and custom or on-premise deployment options.
- Status
- Active
- Checked 29 Oct 2026
- Based in
- Unknown
- Founded
- Unknown
- Not confirmed yet
- Tools listed
- 1
Tools from Voyage AI
- Voyage AI
Embedding and reranking models via standalone API or inside MongoDB Atlas.
Apps- Web (Atlas console (model API key management)) ↗
Sign up or log in to MongoDB Atlas, open a project, then go to AI Model APIs to create a key. The model work itself happens through the API or SDK.
Developer access- API ↗
Needs an Atlas account and a model API key, created under AI Model APIs in an Atlas project. Older docs describe a separate Voyage dashboard key, so check the MongoDB docs for the current key type.
- SDK / library ↗
Official voyageai Python client. It reads the VOYAGE_API_KEY environment variable. Atlas-issued keys need a recent client version (0.3.7 or later, per the Claude docs).
Verified options shown; other ways to use this tool are still being checked.
Data · API key · Checked
Usage-based, free token allowancePer-token rates with a free allowance of 200M or 50M tokens depending on model. - Web (Atlas console (model API key management)) ↗
When Voyage AI launches another product, it gets its own record here.
@voyageai on X
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Pages we check
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- voyageai.com