Microsoft Azure · Schema

elasticsearchChatExtensionParameters

Parameters to use when configuring Elasticsearch® as an Azure OpenAI 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.
endpoint string The endpoint of Elasticsearch®.
index_name string The index name of Elasticsearch®.
fields_mapping object
query_type object
embedding_dependency object
View JSON Schema on GitHub

JSON Schema

microsoft-azure-elasticsearchchatextensionparameters-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "#/components/schemas/elasticsearchChatExtensionParameters",
  "title": "elasticsearchChatExtensionParameters",
  "required": [
    "authentication",
    "endpoint",
    "index_name"
  ],
  "type": "object",
  "properties": {
    "authentication": {
      "oneOf": [
        {
          "$ref": "#/components/schemas/onYourDataKeyAndKeyIdAuthenticationOptions"
        },
        {
          "$ref": "#/components/schemas/onYourDataEncodedApiKeyAuthenticationOptions"
        }
      ]
    },
    "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."
    },
    "endpoint": {
      "type": "string",
      "description": "The endpoint of Elasticsearch\u00ae.",
      "format": "uri"
    },
    "index_name": {
      "type": "string",
      "description": "The index name of Elasticsearch\u00ae."
    },
    "fields_mapping": {
      "$ref": "#/components/schemas/elasticsearchIndexFieldMappingOptions"
    },
    "query_type": {
      "$ref": "#/components/schemas/elasticsearchQueryType"
    },
    "embedding_dependency": {
      "oneOf": [
        {
          "$ref": "#/components/schemas/onYourDataEndpointVectorizationSource"
        },
        {
          "$ref": "#/components/schemas/onYourDataDeploymentNameVectorizationSource"
        },
        {
          "$ref": "#/components/schemas/onYourDataModelIdVectorizationSource"
        }
      ]
    }
  },
  "description": "Parameters to use when configuring Elasticsearch\u00ae as an Azure OpenAI chat extension. "
}

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