languageModel: string

Specifies the language model used

Default: AZURE_GPT_35_TURBO_0613

searchType: string

Defines the type of search to be performed (VECTOR or COMBINED)

Default: COMBINED

maxTokens: number

Maximum number of tokens used by sources and previous conversation in the LLM call

scopeIds: [string]

Optional scope identifiers to limit the search

scopeToChatOnUpload: boolean

Indicates if the scope should be limited to the current chat upon upload

Default: false → Scope restriction off

chunkedSources: boolean

Indicates if chunks of the same document are appended as individual sources (true) to the LLM content or merged to one source (false)
We recommend setting this parameter to true for GPT-4 and false for GPT-3.5.

Default: false

historyIncluded: boolean

Flag that allows to include previous chat conversation in GPT-calls only if the new user input is a follow-up question (false)

Default: true → History always included

keyWordExtractionTemperature: number

Temperature setting for keyword extraction

Default: 0

evaluationConfig: object

Enable the evaluation of the generated assistant’s response for hallucination detection by defining the evaluationConfig object. Note: This feature requires at least GPT-4 and incurs additional token costs. To activate hallucination detection, configure the object as follows:

"evaluationConfig": {
    "displayName": "Hallucination-Level",
    "metricConfigs": [
      {
        "name": "hallucination",
        "enabled": true,
        "scoreToEmoji": {
          "LOW": "🟢",
          "HIGH": "🔴",
          "MEDIUM": "🟡"
        },
        "languageModel": "AZURE_GPT_4_0613"
      }
    ]
  }

chunkRelevancySort: object

Enable the sorting of retrieved chunks based on their relevance to the user input by defining the chunkRelevancySort object. Note: Activating this feature will incur additional token costs.

  "chunkRelevancySortConfig": {
    "enabled": true,
    "relevancy_levels_to_consider": [
      "high", "medium", "low"
    ],
    "language_model" : "AZURE_GPT_35_TURBO_0613",
    "fallback_language_model" :"AZURE_GPT_35_TURBO"
  }