voyage-4-nano is a state-of-the-art text embedding model from Voyage AI, designed for high-performance semantic search and retrieval. Built on a bidirectional Qwen3 backbone (~340M params, 32k context). Supports Matryoshka Representation Learning with embedding dimensions of 2048, 1024, 512, or 256. Multilingual. Apache 2.0.
On-demand DeploymentDocs | On-demand deployments give you dedicated GPUs for Voyage 4 Nano using Fireworks' reliable, high-performance system with no rate limits. |
