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VoyageAI by MongoDB · Embedding model

voyage-4-lite

mongodb/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 t voyage-4-lite here: [mongodb.com/products/platform/ai-search-and-retrieval/models](https://www.mongodb.com/products/platform/ai-search-and-retrieval/models?utm_source=openrouter&utm_medium=referral)

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":"mongodb/voyage-4-lite","input":["brass lever espresso machine","coffee grinder"]}'