AzureOpenAIEmbeddingSkill interface
Allows you to generate a vector embedding for a given text input using the Azure OpenAI resource.
- Extends
Properties
dimensions | The number of dimensions the resulting output embeddings should have. Only supported in text-embedding-3 and later models. |
odatatype | Polymorphic discriminator, which specifies the different types this object can be |
Inherited Properties
api |
API key for the designated Azure Open AI resource. |
auth |
The user-assigned managed identity used for outbound connections. |
context | Represents the level at which operations take place, such as the document root or document content (for example, /document or /document/content). The default is /document. |
deployment |
ID of your Azure Open AI model deployment on the designated resource. |
description | The description of the skill which describes the inputs, outputs, and usage of the skill. |
inputs | Inputs of the skills could be a column in the source data set, or the output of an upstream skill. |
model |
The name of the embedding model that is deployed at the provided deploymentId path. |
name | The name of the skill which uniquely identifies it within the skillset. A skill with no name defined will be given a default name of its 1-based index in the skills array, prefixed with the character '#'. |
outputs | The output of a skill is either a field in a search index, or a value that can be consumed as an input by another skill. |
resource |
The resource uri for your Azure Open AI resource. |
Property Details
dimensions
The number of dimensions the resulting output embeddings should have. Only supported in text-embedding-3 and later models.
dimensions?: number
Property Value
number
odatatype
Polymorphic discriminator, which specifies the different types this object can be
odatatype: "#Microsoft.Skills.Text.AzureOpenAIEmbeddingSkill"
Property Value
"#Microsoft.Skills.Text.AzureOpenAIEmbeddingSkill"
Inherited Property Details
apiKey
API key for the designated Azure Open AI resource.
apiKey?: string
Property Value
string
Inherited From AzureOpenAIParameters.apiKey
authIdentity
The user-assigned managed identity used for outbound connections.
authIdentity?: SearchIndexerDataIdentity
Property Value
Inherited From AzureOpenAIParameters.authIdentity
context
Represents the level at which operations take place, such as the document root or document content (for example, /document or /document/content). The default is /document.
context?: string
Property Value
string
Inherited From BaseSearchIndexerSkill.context
deploymentId
ID of your Azure Open AI model deployment on the designated resource.
deploymentId?: string
Property Value
string
Inherited From AzureOpenAIParameters.deploymentId
description
The description of the skill which describes the inputs, outputs, and usage of the skill.
description?: string
Property Value
string
Inherited From BaseSearchIndexerSkill.description
inputs
Inputs of the skills could be a column in the source data set, or the output of an upstream skill.
inputs: InputFieldMappingEntry[]
Property Value
Inherited From BaseSearchIndexerSkill.inputs
modelName
The name of the embedding model that is deployed at the provided deploymentId path.
modelName?: string
Property Value
string
Inherited From AzureOpenAIParameters.modelName
name
The name of the skill which uniquely identifies it within the skillset. A skill with no name defined will be given a default name of its 1-based index in the skills array, prefixed with the character '#'.
name?: string
Property Value
string
Inherited From BaseSearchIndexerSkill.name
outputs
The output of a skill is either a field in a search index, or a value that can be consumed as an input by another skill.
outputs: OutputFieldMappingEntry[]
Property Value
Inherited From BaseSearchIndexerSkill.outputs
resourceUrl
The resource uri for your Azure Open AI resource.
resourceUrl?: string
Property Value
string
Inherited From AzureOpenAIParameters.resourceUrl