MindsDB API Reference

POST/embeddings

Create embeddings

This endpoint creates an embedding vector representing the input text.

Request body

Name
input
Type
string or array
Description
Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or an array of token arrays.
Name
model
Type
string
Description
ID of the model to use.

Optional attributes

MindsDB Inference Endpoints are OpenAI compatible. For the full supported attributes check the OpenAI Docs.

Request

POST

/embeddings

curl https://llm.mdb.ai/embeddings \
  -H "Authorization: Bearer $MINDSDB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input": "The food was delicious and the waiter...",
    "model": "text-embedding-ada-002",
    "encoding_format": "float"
  }'

Response

{
   "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
    }
}