Create vector embeddings via a Verlon gate
Use when: caller wants numeric vector embeddings for one or more inputs (for RAG, semantic search, clustering) routed through a Verlon gate
Routes an embeddings request through the named Verlon gate. The gate decides which underlying embedding model+provider serves the request based on its current configuration. Returns numeric vector embeddings suitable for similarity search, retrieval, or clustering.
Documentation Index
Fetch the complete documentation index at: https://docs.verlon.ai/llms.txt
Use this file to discover all available pages before exploring further.
Authorizations
Verlon API key (prefixed verlon_; legacy keys prefixed layer_ from before the 2026-05 rename also validate). Generated from the dashboard under Settings → API Keys, or via verlon key create in the CLI (legacy verlon key create still works as a bin alias until 2026-06-20).
Body
Response
Embeddings response. Shape follows the underlying provider format selected by the gate (OpenAI-compatible by default).

