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.
View JSON Schema on GitHub

JSON Schema

microsoft-azure-azuremachinelearningindexchatextensionparameters-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$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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