Voyage 4 lite
Lightweight, general-purpose text embedding model optimized for low latency and cost. Supports a 32K token context window and flexible output dimensions (2048, 1024, 512, 256) via Matryoshka learning. Offers multiple quantization formats including float, int8, uint8, binary, and ubinary. Part of the Voyage 4 series with a shared embedding space across models.
- Type
- Text
- Weights
- Closed
- Downloads
- 773
- Likes
- 3
- License
- apache-2.0
Model hub
voyageai/voyage-4-lite
- Repo
- voyageai/voyage-4-lite
- Access
- Public
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Pricing
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About Voyage AI
1
Voyage AI provides best-in-class embedding models and rerankers for search and retrieval over unstructured data, used to power retrieval-augmented generation (RAG) and AI applications. It offers general-purpose, domain-specific (finance, legal, code) and company-specific fine-tuned models. Founded in 2023 and based in Palo Alto, the company was acquired by MongoDB, Inc. in February 2025 and now operates as a MongoDB subsidiary.