Databricks Gte Large En

About Databricks Gte Large En

Databricks Gte Large En is a Databricks model available on Eden AI through its OpenAI-compatible API, from $0.13 / 1M tokens. Call it with the same API key as every other Eden AI model by sending its model ID to the /v3/embeddings endpoint, or through any OpenAI SDK, with processing in global regions.

Learn more about Embeddings APIs on Eden AI

Tasks and prices

Databricks Gte Large En is available on Eden AI for 1 tasks. It is served through Eden AI's OpenAI-compatible API: send its model ID to the /v3/embeddings endpoint with your Eden AI API key.

Parameters

What you send and what you get back when you call Databricks Gte Large En through Eden AI. The same fields work with every model of the same task, so you can switch model without changing your code.

Estimate your monthly cost

Enter your monthly volume for Embeddings to compare Databricks Gte Large En with its cheapest alternatives.

Call Databricks Gte Large En with Eden AI

Send the model ID to the OpenAI-compatible /v3/embeddings endpoint. Any OpenAI SDK works too: set its base URL to 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": "databricks/databricks-gte-large-en",
        "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": "databricks/databricks-gte-large-en", "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: "databricks/databricks-gte-large-en",
    input: "The quick brown fox jumps over the lazy dog",
  }),
});
console.log(await response.json());

Questions about Databricks Gte Large En