Vai
Explore Voyage AI embeddings from your terminal — or your desktop.
CLI + Desktop App + Web Playground for Voyage AI embeddings, reranking, and MongoDB Atlas Vector Search.
✓ Generated 1024-dim embedding in 142ms
Everything you need to work with embeddings
Six powerful tools in one CLI — from generating embeddings to benchmarking models.
Embed
Generate vector embeddings for any text using Voyage AI's state-of-the-art models.
Compare
Measure cosine similarity, dot product, and euclidean distance between texts.
Multimodal
Compare images and text in the same vector space with multimodal embeddings.
Rerank
Re-order documents by semantic relevance to improve search quality.
Benchmark
Compare model latency, embedding quality, and costs across different models.
Explore
Learn about embeddings, vector search, and RAG concepts with interactive guides.
Supported Models
Access the full range of Voyage AI models for text, multimodal, and reranking tasks.
Text Embedding
Multimodal
Reranking
Powerful from the command line
Simple, intuitive commands that get out of your way.
Terminal
A full desktop experience
The Vai desktop app wraps the entire CLI experience in a beautiful Electron interface. Embed text, compare documents, run benchmarks, and explore vector search concepts — all with a visual interface.
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Vai Desktop
Enter text to embed...
[0.0234, -0.0891, 0.1456, 0.0023, ...]
voyage-4 · 1024 dimensions · 138ms