Support Request: Add `voyage-4-nano` Model Integration (Qwen3 Architecture)

[GaneshDoosa]

Hello Team,

I would like to request support for integrating the new voyage-4-nano model into the repository/service.

The model appears to be lightweight and optimized for text embeddings, which would be highly beneficial for use cases requiring low-latency and cost-effective embedding generation, such as semantic search, retrieval, and RAG-based applications.

Request Details:
Model Link: https://huggingface.co/voyageai/voyage-4-nano

• Please add support for voyage-4-nano in the model configuration/interface.

• If applicable, provide example usage in:

  • Python
  • API / SDK
  • Any relevant framework integrations (e.g., LangChain, TEI, or similar)

• Clarify any recommended settings (batch size, dimensions, latency expectations, etc.).

Use Case (Optional):
We intend to use this model for:

• Document retrieval
• Semantic search
• Embedding-based ranking in production systems

Please let me know if any additional details are needed from my side.

Thanks in advance for your support!

Open source status & huggingface transformers.

• The model implementation is available on transformers
• The model weights are available on huggingface-hub
• I verified that the model is currently not running in the latest version pip install infinity_emb[all] --upgrade
• I made the authors of the model aware that I want to use it with infinity_emb & check if they are aware of the issue.