Text model

Voyage 3 lite

Lightweight general-purpose text embedding model optimized for latency and cost. Generates 512-dimensional vector embeddings with a 32K-token context window. Outperforms OpenAI v3 large by 3.82% on average retrieval accuracy across eight domains while costing 6.5x less, at $0.02 per 1M tokens.

Type
Text
Weights
Closed
Likes
1

Model hub

voyageai/voyage-3-lite

Repo
voyageai/voyage-3-lite
Access
Public

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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.