Embeddings API

Creating embedding:

import openai

client = OpenAI()

res = client.embeddings.create(
  model="text-embedding-ada-002",
  input="my name is Sam",
  encoding_format="float"
)

print(res)

Response from calling the embedding create:

res = {
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "embedding": [
        0.0023064255,
        -0.009327292,
        .... (1536 floats total for ada-002)
        -0.0028842222,
      ],
      "index": 0
    }
  ],
  "model": "text-embedding-ada-002",
  "usage": {
    "prompt_tokens": 8,
    "total_tokens": 8
  }
}

data_vector = res['data'][0]['embedding']

Available Models (2025)

text-embedding-3-small
text-embedding-3-large
text-embedding-ada-002