Cohere Embed API

The Cohere Embed API generates vector embeddings from text and images, enabling semantic search, clustering, and classification use cases. It supports multilingual content and can process both text and image inputs using the Embed v3 model family. Developers can use these embeddings to build retrieval systems, recommendation engines, and other applications that require understanding semantic similarity between content.

Operations 2

POST /v2/embed Embed API (v2) #
POST /v1/embed Embed API (v1) #

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OpenAPI Specification

cohere-embed-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  title: Cohere Embed API
  version: 1.0.0
servers:
- url: https://api.cohere.com
  description: production
tags:


# --- truncated at 32 KB (33 KB total) ---
# Full source: https://artifacts.apis.io/cohere/openapi/cohere-embed-api-openapi.yml