What it is:

The Embedding and Reranking API is a new serverless API service that provides developers with direct access to Voyage AI’s frontier retrieval models natively within the MongoDB Atlas platform. This service is database-agnostic, meaning it can be integrated into any tech stack or database, and features flexible, token-based pricing.

Who it’s for:


This API is designed for AI developers and teams building retrieval-powered AI systems, from semantic search and RAG (Retrieval-Augmented Generation) to AI agents. Whether you're an AI startup or an enterprise organization, this API simplifies your development workflow by consolidating critical retrieval components needed for building AI retrieval on a single platform.

Why it matters:


As AI systems become integral to everyday processes and products, they need high-quality context to reduce hallucinations. Voyage AI's models deliver industry-leading retrieval accuracy to meet this need. By offering these models within Atlas, MongoDB provides a unified platform for your entire AI retrieval stack, combining your operational database, vector search, and retrieval models under a single control plane with unified monitoring and billing. This reduces operational overhead while delivering the security and scalability of MongoDB Atlas.

How to get started:

Sign up, generate a model API key, and get 200M free tokens on each of our latest models. Dive into the documentation and start building with the Embedding and Reranking API on MongoDB Atlas.