QueryAssistantRequest ¶

class QueryAssistantRequest(TypedDict, closed=True):
    assistant_id: "capo_qconnect.types.uuid_or_arn.UuidOrArn"
    """<p>The identifier of the Amazon Q in Connect assistant. Can be either the ID or the ARN. URLs cannot contain the ARN.</p>"""
    query_text: NotRequired["capo_qconnect.types.query_text.QueryText"]
    """<p>The text to search for.</p>"""
    next_token: NotRequired["capo_qconnect.types.next_token.NextToken"]
    """<p>The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.</p>"""
    max_results: NotRequired["capo_qconnect.types.max_results.MaxResults"]
    """<p>The maximum number of results to return per page.</p>"""
    session_id: NotRequired["capo_qconnect.types.uuid_or_arn.UuidOrArn"]
    """<p>The identifier of the Amazon Q in Connect session. Can be either the ID or the ARN. URLs cannot contain the ARN.</p>"""
    query_condition: NotRequired[
        "capo_qconnect.types.query_condition_expression.QueryConditionExpression"
    ]
    """<p>Information about how to query content.</p>"""
    query_input_data: NotRequired["capo_qconnect.types.query_input_data.QueryInputData"]
    """<p>Information about the query.</p>"""
    override_knowledge_base_search_type: NotRequired[
        "capo_qconnect.types.knowledge_base_search_type.KnowledgeBaseSearchType"
    ]
    """<p>The search type to be used against the Knowledge Base for this request. The values can be <code>SEMANTIC</code> which uses vector embeddings or <code>HYBRID</code> which use vector embeddings and raw text.</p>"""