Embeddings - MemoryLake AI

curl -X POST 'https://app.memorylake.ai/openapi/memorylake/router/openai/v1/embeddings' \
  -H 'Authorization: Bearer sk_xxxxxx' \
  -H 'Content-Type: application/json' \
  -d '{
    "input": "Lisbon is my favourite city.",
    "model": "text-embedding-3-small"
  }'

{
  "data": [
    {
      "embedding": [
        0.0123,
        -0.0456,
        0.0789
      ],
      "index": 0,
      "object": "embedding"
    }
  ],
  "model": "text-embedding-3-small",
  "object": "list",
  "usage": {
    "prompt_tokens": 7,
    "total_tokens": 7
  }
}

curl -X POST 'https://app.memorylake.ai/openapi/memorylake/router/openai/v1/embeddings' \
  -H 'Authorization: Bearer sk_xxxxxx' \
  -H 'Content-Type: application/json' \
  -d '{
    "input": "Lisbon is my favourite city.",
    "model": "text-embedding-3-small"
  }'

{
  "data": [
    {
      "embedding": [
        0.0123,
        -0.0456,
        0.0789
      ],
      "index": 0,
      "object": "embedding"
    }
  ],
  "model": "text-embedding-3-small",
  "object": "list",
  "usage": {
    "prompt_tokens": 7,
    "total_tokens": 7
  }
}

POST /openapi/memorylake/router/openai/v1/embeddings

OpenAI Embeddings. Returns one vector per input. Parameters not listed below are passed to the model unchanged.

No embedding models are available yet, so this endpoint currently answers that the model is not found. Check Available Models in the console for when one is added.

Headers

string

Your MemoryLake API key, when you call the model with your own provider key. The provider key then goes in the provider’s usual key header. Your provider key is forwarded to the provider and never stored.

string

W3C trace context. When present, the request joins your trace and the same trace id comes back in X-Trace-ID.

Request Body

string | array

required

Text to embed, or an array of texts

string

required

Embedding model name

integer

Length of each vector, for models that support it

string

Vector format. One of: float, base64.

curl -X POST 'https://app.memorylake.ai/openapi/memorylake/router/openai/v1/embeddings' \
  -H 'Authorization: Bearer sk_xxxxxx' \
  -H 'Content-Type: application/json' \
  -d '{
    "input": "Lisbon is my favourite city.",
    "model": "text-embedding-3-small"
  }'

Response

array

One embedding per input

Show Data object

array

The vector

integer

Position of the input

string

Always embedding

string

Model that produced the vectors

string

Always list

object

Tokens used

Show Usage object

integer

Tokens in the input

integer

Same as prompt_tokens

{
  "data": [
    {
      "embedding": [
        0.0123,
        -0.0456,
        0.0789
      ],
      "index": 0,
      "object": "embedding"
    }
  ],
  "model": "text-embedding-3-small",
  "object": "list",
  "usage": {
    "prompt_tokens": 7,
    "total_tokens": 7
  }
}

​Headers

​Request Body

​Response

Headers

Request Body

Response