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Amazon · Embedding model

Titan Text Embeddings V2

amazon/titan-embed-text-v2
  • Embedding
Released Oct 26, 2026

Amazon Titan Text Embeddings V2 is a text embedding model for retrieval, search, and clustering. It accepts up to 8,192 tokens per input and returns normalized vectors of 1,024 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":"amazon/titan-embed-text-v2","input":["brass lever espresso machine","coffee grinder"]}'