Getting Started with Voyage AI

Follow our quick start guides to access state-of-the-art Voyage AI embedding and reranking models through a simple API call.

Get Started

Generate your first vector embedding

Create an API key

Model API keys are your secure credentials for authenticating with the Atlas Embedding and Reranking API Service, managed within the Atlas console.

Create an API key

Choose an embedding model

Voyage AI offers embedding models ranging from general-purpose, multimodal, contextualized chunk, and domain-specific models.

Learn more

Start building

Get started quickly with Python or TypeScript SDKs and leverage the best-performing models to power your semantic search, RAG, and agentic applications.

Follow the quick start guide

Explore more resources

Check out the docs

The Voyage AI documentation will introduce you to embedding models and rerankers and help you get started with Voyage AI models.

Read the docs

Watch a session on AI-powered retrieval

Examine techniques—embedding models, rerankers, query decomposition, chunking, and more—for enhancing retrieval performance.

Watch the video

Learn more about Voyage AI

MongoDB’s Frank Liu, Staff Product Manager, and Richmond Alake, Staff Developer Advocate, break down powerful AI capabilities easily accessible to MongoDB developers.

Watch the video

Power your AI with best-in-class retrieval accuracy

Start building with Voyage AI to deliver the precision, scale, and freedom your next-generation applications and agents demand.

Get StartedExplore Voyage API

READY FOR PRODUCTION AI

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