Voyage 4 nano
The only open model in the Voyage 4 line: its vectors are compatible with the paid larger versions, so you can start locally and move to the API later.
- Developer
- Voyage AI (MongoDB), USA
- First release
- Jan 2026
- Latest release
- Jan 2026
- Sizes
- about 340M
- License
- Commercial use allowedApache 2.0
- Russian
- Not stated
- Running
- On your own serverAlso runs without a GPU
- Industries
- Software development, Documents and accounting, Customer support
What it does
- Document search on your own server
- RAG for small knowledge bases
- Finding similar texts
Where it is used
Hardware requirements
Versions
- voyage-4-nano
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can Voyage 4 nano be used in a commercial project?
Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does Voyage 4 nano need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does Voyage 4 nano support Russian?
The model card does not list languages, so Russian support cannot be promised — it has to be tested on your own examples.
Where can I download Voyage 4 nano and what does it cost?
The Voyage 4 nano weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
Embeddings from the Perplexity search service. Some versions take into account the context of the whole document, not just a single fragment.
DetailsSearch and RAGGranite EmbeddingIBM · USACommercial use allowedLightweight IBM embeddings for enterprise search, trained on data with clear rights. R2, released in 2026, became multilingual.
DetailsSource: huggingface.co/voyageai/voyage-4-nano. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


