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POST
/
v1
/
engines
/
{model}
/
embeddings
Create Gemini Embeddings
curl --request POST \
  --url https://api.ldx.dev/v1/engines/{model}/embeddings \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "text-embedding-ada-002",
  "input": "<string>",
  "encoding_format": "float",
  "dimensions": 123
}
'
{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "index": 123,
      "embedding": [
        123
      ]
    }
  ],
  "model": "<string>",
  "usage": {
    "prompt_tokens": 123,
    "total_tokens": 123
  }
}

Documentation Index

Fetch the complete documentation index at: https://docs.liandanxia.io/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
Authorization
string
header
required

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

Path Parameters

​
model
string
required

See endpoint details.

Body

application/json
​
model
string
required
Example:

"text-embedding-ada-002"

​
input
required

See endpoint details.

​
encoding_format
enum<string>
default:float
Available options:
float,
base64
​
dimensions
integer

See endpoint details.

Response

200 - application/json

Embeddings created successfully

​
object
string
Example:

"list"

​
data
object[]
​
model
string
​
usage
object