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AnalyticDB:TextEmbedding

Last Updated:Nov 05, 2025

Generates text embeddings using an embedding model.

Debugging

You can run this interface directly in OpenAPI Explorer, saving you the trouble of calculating signatures. After running successfully, OpenAPI Explorer can automatically generate SDK code samples.

Authorization information

The following table shows the authorization information corresponding to the API. The authorization information can be used in the Action policy element to grant a RAM user or RAM role the permissions to call this API operation. Description:

  • Operation: the value that you can use in the Action element to specify the operation on a resource.
  • Access level: the access level of each operation. The levels are read, write, and list.
  • Resource type: the type of the resource on which you can authorize the RAM user or the RAM role to perform the operation. Take note of the following items:
    • For mandatory resource types, indicate with a prefix of * .
    • If the permissions cannot be granted at the resource level, All Resources is used in the Resource type column of the operation.
  • Condition Key: the condition key that is defined by the cloud service.
  • Associated operation: other operations that the RAM user or the RAM role must have permissions to perform to complete the operation. To complete the operation, the RAM user or the RAM role must have the permissions to perform the associated operations.
OperationAccess levelResource typeCondition keyAssociated operation
gpdb:TextEmbeddingnone
*DBInstance
acs:gpdb:{#regionId}:{#accountId}:dbinstance/{#DBInstanceId}
    none
none

Request parameters

ParameterTypeRequiredDescriptionExample
DBInstanceIdstringYes

The cluster ID.

gp-xxxxxxxxx
RegionIdstringYes

The region ID of the cluster.

cn-hangzhou
ModelstringNo

The text embedding model. Valid values:

  • text-embedding-v1:1536 dimensions
  • text-embedding-v2:1536 dimensions
  • text-embedding-v3 (default):1024, 768, and 512 dimensions
  • text2vec: 1024 dimensions
  • m3e-base: 768 dimensions
  • m3e-small: 512 dimensions
text-embedding-v2
InputarrayYes

A list of text content to be embedded. The list length must not exceed 100.

stringYes

The content of the text to be embedded. The text length cannot exceed 2,048 tokens.

DimensionintegerNo

The number of embedding dimensions. The default value is the number of dimensions supported by the embedding algorithm.

Note
  • The text-embedding-v3 supports 1024, 768, and 512 dimensions. Default value: 1024.
1024

Response parameters

ParameterTypeDescriptionExample
object
RequestIdstring

The unique ID of the request.

ABB39CC3-4488-4857-905D-2E4A051D0521
Messagestring

The returned message.

Successful
Statusstring

The status of the operation. Valid values:

  • success
  • fail
success
TextTokensinteger

The total number of tokens consumed.

1000
Resultsarray<object>

The embedding results.

Resultsobject

The embedding result.

Embeddingarray

The embedding values.

Embeddingdouble

The embedding value.

0.1234
Indexinteger

The number of the embedding in the Input request parameter, which starts from 0.

0

Examples

Sample success responses

JSONformat

{
  "RequestId": "ABB39CC3-4488-4857-905D-2E4A051D0521",
  "Message": "Successful",
  "Status": "success",
  "TextTokens": 1000,
  "Results": {
    "Results": [
      {
        "Embedding": {
          "Embedding": [
            0.1234
          ]
        },
        "Index": 0
      }
    ]
  }
}

Error codes

For a list of error codes, visit the Service error codes.