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SubmitFeedbackRequest

Source code in docs_src/capo_kendra/types/submit_feedback_request.py 
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class SubmitFeedbackRequest(TypedDict, closed=True):
    index_id: "capo_kendra.types.index_id.IndexId"
    """<p>The identifier of the index that was queried.</p>"""
    query_id: "capo_kendra.types.query_id.QueryId"
    """<p>The identifier of the specific query for which you are submitting feedback. The query ID is returned in the response to the <code>Query</code> API.</p>"""
    click_feedback_items: NotRequired[
        "capo_kendra.types.click_feedback_list.ClickFeedbackList"
    ]
    """<p>Tells Amazon Kendra that a particular search result link was chosen by the user. </p>"""
    relevance_feedback_items: NotRequired[
        "capo_kendra.types.relevance_feedback_list.RelevanceFeedbackList"
    ]
    """<p>Provides Amazon Kendra with relevant or not relevant feedback for whether a particular item was relevant to the search.</p>"""

click_feedback_items instance-attribute 

click_feedback_items: NotRequired[ClickFeedbackList]

Tells Amazon Kendra that a particular search result link was chosen by the user.

index_id instance-attribute 

index_id: IndexId

The identifier of the index that was queried.

query_id instance-attribute 

query_id: QueryId

The identifier of the specific query for which you are submitting feedback. The query ID is returned in the response to the Query API.

relevance_feedback_items instance-attribute 

relevance_feedback_items: NotRequired[RelevanceFeedbackList]

Provides Amazon Kendra with relevant or not relevant feedback for whether a particular item was relevant to the search.