VoyageAI by MongoDB · Embedding model

voyage-4-lite

voyageai/voyage-4-lite

Embedding

Released Jul 27, 2026

voyage-4-lite is a lightweight, general-purpose embedding model optimized for low latency and cost. Enabled by Matryoshka learning and quantization-aware training, voyage-4-lite supports embeddings in 2048, 1024, 512, and 256 dimensions,...

Specifications

Input: text
Output: vector per input (float array; base64 on request)
Batch: up to 512 inputs per call
Billing: per input token

Use it

POST /api/v1/embeddings · MCP embed · full reference

curl https://omnirail.org/api/v1/embeddings \
  -H "Authorization: Bearer $OMNIRAIL_KEY" -H "Content-Type: application/json" \
  -d '{"model":"voyageai/voyage-4-lite","input":["brass lever espresso machine","coffee grinder"]}'