Microsoft Azure · Schema
azureMachineLearningIndexChatExtensionParameters
Parameters for the Azure Machine Learning vector index chat extension.
API ManagementCloudCloud ComputingEnterpriseInfrastructure-as-a-ServicePlatform-as-a-ServiceT1
Properties
| Name | Type | Description |
|---|---|---|
| authentication | object | |
| top_n_documents | integer | The configured top number of documents to feature for the configured query. |
| in_scope | boolean | Whether queries should be restricted to use of indexed data. |
| strictness | integer | The configured strictness of the search relevance filtering. The higher of strictness, the higher of the precision but lower recall of the answer. |
| role_information | string | Give the model instructions about how it should behave and any context it should reference when generating a response. You can describe the assistant's personality and tell it how to format responses. |
| project_resource_id | string | The resource ID of the Azure Machine Learning project. |
| name | string | The Azure Machine Learning vector index name. |
| version | string | The version of the Azure Machine Learning vector index. |
| filter | string | Search filter. Only supported if the Azure Machine Learning vector index is of type AzureSearch. |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "#/components/schemas/azureMachineLearningIndexChatExtensionParameters",
"title": "azureMachineLearningIndexChatExtensionParameters",
"required": [
"authentication",
"name",
"project_resource_id",
"version"
],
"type": "object",
"properties": {
"authentication": {
"oneOf": [
{
"$ref": "#/components/schemas/onYourDataAccessTokenAuthenticationOptions"
},
{
"$ref": "#/components/schemas/onYourDataSystemAssignedManagedIdentityAuthenticationOptions"
},
{
"$ref": "#/components/schemas/onYourDataUserAssignedManagedIdentityAuthenticationOptions"
}
]
},
"top_n_documents": {
"type": "integer",
"description": "The configured top number of documents to feature for the configured query.",
"format": "int32"
},
"in_scope": {
"type": "boolean",
"description": "Whether queries should be restricted to use of indexed data."
},
"strictness": {
"maximum": 5,
"minimum": 1,
"type": "integer",
"description": "The configured strictness of the search relevance filtering. The higher of strictness, the higher of the precision but lower recall of the answer.",
"format": "int32"
},
"role_information": {
"type": "string",
"description": "Give the model instructions about how it should behave and any context it should reference when generating a response. You can describe the assistant's personality and tell it how to format responses. There's a 100 token limit for it, and it counts against the overall token limit."
},
"project_resource_id": {
"type": "string",
"description": "The resource ID of the Azure Machine Learning project."
},
"name": {
"type": "string",
"description": "The Azure Machine Learning vector index name."
},
"version": {
"type": "string",
"description": "The version of the Azure Machine Learning vector index."
},
"filter": {
"type": "string",
"description": "Search filter. Only supported if the Azure Machine Learning vector index is of type AzureSearch."
}
},
"description": "Parameters for the Azure Machine Learning vector index chat extension."
}
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