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POST
/
embeddings
from together import Together
import os

client = Together(
    api_key=os.environ.get("TOGETHER_API_KEY"),
)

response = client.embeddings.create(
    model="BAAI/bge-large-en-v1.5",
    input="New York City",
)

print(response.data[0].embedding)
{
  "object": "list",
  "model": "<string>",
  "data": [
    {
      "object": "embedding",
      "embedding": [
        123
      ],
      "index": 123
    }
  ]
}

Authorizations

​
Authorization
string
header
default:default
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json
​
model
required

The name of the embedding model to use.<br> <br> See all of Together AI's embedding models

Available options:
WhereIsAI/UAE-Large-V1,
BAAI/bge-large-en-v1.5,
BAAI/bge-base-en-v1.5,
togethercomputer/m2-bert-80M-8k-retrieval
Example:

"togethercomputer/m2-bert-80M-8k-retrieval"

​
input
required

A string providing the text for the model to embed.

Example:

"Our solar system orbits the Milky Way galaxy at about 515,000 mph"

Response

200

​
object
enum<string>
required
Available options:
list
​
model
string
required
​
data
object[]
required