Embed English V3.0

cohere/embed-english-v3.0 by Cohere

Provider docs Try in Universal AI Get your API key

EmbeddingsCompatible OpenAI · Synchrone · Entrée texte

Price from

0,1 $ / 1M tokens

Tasks

Embeddings

Regions

États-Unis

Mode

sync

Input

Texte

Output

data

About Cohere Embed English V3.0

Turn text into vectors (embeddings) for semantic search, retrieval-augmented generation, clustering and classification.

Cohere Embed English V3.0 est un modèle de Cohere disponible sur Eden AI via son API compatible OpenAI, à partir de 0,1 $ / 1M tokens. Appelez-le avec la même clé API que tous les autres modèles Eden AI, en envoyant son ID de modèle à l'endpoint /v3/embeddings, ou via n'importe quel SDK OpenAI, avec un traitement aux États-Unis.

Learn more about Embeddings APIs on Eden AI

Tasks and prices

Cohere Embed English V3.0 is available on Eden AI for 1 tasks. Il est servi par l'API compatible OpenAI d'Eden AI : envoyez son ID de modèle à l'endpoint /v3/embeddings avec votre clé API Eden AI.

Task

Price

Regions

Mode

Docs

Playground

Embeddingscohere/embed-english-v3.0

0,1 $ / 1M tokens

sync

Docs

Try it

Parameters

What you send and what you get back when you call Cohere Embed English V3.0 through Eden AI. The same fields work with every model of the same task, so you can switch model without changing your code.

Entrée

model (obligatoire) : texte. The model ID, as provider/model.
input (obligatoire) : texte. The text to embed, or a list of texts.

Réponse

data

Estimate your monthly cost

Enter your monthly volume for Embeddings to compare Cohere Embed English V3.0 with its cheapest alternatives.

Call Cohere Embed English V3.0 with Eden AI

Envoyez l'ID du modèle à l'endpoint compatible OpenAI /v3/embeddings. Tout SDK OpenAI fonctionne aussi : définissez son URL de base sur https://api.edenai.run/v3.

import requests

response = requests.post(
    "https://api.edenai.run/v3/embeddings",
    headers={"Authorization": "Bearer YOUR_EDENAI_API_KEY"},
    json={
        "model": "cohere/embed-english-v3.0",
        "input": "The quick brown fox jumps over the lazy dog",
    },
)
print(response.json())

curl https://api.edenai.run/v3/embeddings \
  -H "Authorization: Bearer YOUR_EDENAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "cohere/embed-english-v3.0", "input": "The quick brown fox jumps over the lazy dog"}'

const response = await fetch("https://api.edenai.run/v3/embeddings", {
  method: "POST",
  headers: {
    Authorization: "Bearer YOUR_EDENAI_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "cohere/embed-english-v3.0",
    input: "The quick brown fox jumps over the lazy dog",
  }),
});
console.log(await response.json());

Questions about Cohere Embed English V3.0

How much does Cohere Embed English V3.0 cost?

On Eden AI, Cohere Embed English V3.0 costs 0,1 $ / 1M tokens for Embeddings. The Tasks and prices table lists the price for each task, and you only pay for what you use.

What can I do with Cohere Embed English V3.0?

On Eden AI, Cohere Embed English V3.0 is available for: Embeddings. Input: Texte. Output: data.

What are the alternatives to Cohere Embed English V3.0?

Eden AI offers Embeddings from 14 providers, all callable with the same API key. The cheapest models are compared just below.

Alternatives for Embeddings

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