AI MODELS
Voyage AI by MongoDB
Build trustworthy, production-grade AI applications and agents with best-in-class embedding models—accessible via standalone API or natively in Atlas.
High-accuracy retrieval for production AI agents
Maximize your retrieval performance with state-of-the-art accuracy that reduces hallucinations across complex and multimodal data.
- State-of-the-art retrieval accuracy
- Database agnostic
- High performance, low latency
Architectural flexibility. Operational simplicity.

Cofounder and CEO, TinyFish

Cofounder and CEO, TinyFish

Co-founder and CTO, Factory
Group Head of Technology, TUI Musement
Global VP of Architecture and Governance, Condé Nast

Founder, Tenali AI
FAQ
No. Voyage AI is built for agnostic utility. While we offer native, high-performance integration for MongoDB Atlas users, our models are available via a standalone API. You can integrate Voyage AI’s high-precision embeddings and rerankers with any database or existing AI framework without vendor lock-in.
Voyage AI utilizes a dedicated third embedding queue engineered explicitly for large-scale auto-embedding. This ensures that large initial sync jobs (up to billions of documents) finish rapidly without affecting the latency or availability of your live application requests.
Power your AI with best-in-class retrieval accuracy
- State-of-the-art retrieval accuracy
- Total cloud neutrality and portability
- Available natively in MongoDB Atlas
- Enterprise-grade security and compliance roadmap
- Free tokens for new users