UpdateQuerySuggestionsConfigInput

aws_sdk_kendra::operation::update_query_suggestions_config

Struct UpdateQuerySuggestionsConfigInput 

Source 
#[non_exhaustive]
pub struct UpdateQuerySuggestionsConfigInput {
    pub index_id: Option<String>,
    pub mode: Option<Mode>,
    pub query_log_look_back_window_in_days: Option<i32>,
    pub include_queries_without_user_information: Option<bool>,
    pub minimum_number_of_querying_users: Option<i32>,
    pub minimum_query_count: Option<i32>,
    pub attribute_suggestions_config: Option<AttributeSuggestionsUpdateConfig>,
}

Fields (Non-exhaustive)§

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
§index_id: Option<String>

The identifier of the index with query suggestions you want to update.

§mode: Option<Mode>

Set the mode to ENABLED or LEARN_ONLY.

By default, Amazon Kendra enables query suggestions. LEARN_ONLY mode allows you to turn off query suggestions. You can to update this at any time.

In LEARN_ONLY mode, Amazon Kendra continues to learn from new queries to keep suggestions up to date for when you are ready to switch to ENABLED mode again.

§query_log_look_back_window_in_days: Option<i32>

How recent your queries are in your query log time window.

The time window is the number of days from current day to past days.

By default, Amazon Kendra sets this to 180.

§include_queries_without_user_information: Option<bool>

TRUE to include queries without user information (i.e. all queries, irrespective of the user), otherwise FALSE to only include queries with user information.

If you pass user information to Amazon Kendra along with the queries, you can set this flag to FALSE and instruct Amazon Kendra to only consider queries with user information.

If you set to FALSE, Amazon Kendra only considers queries searched at least MinimumQueryCount times across MinimumNumberOfQueryingUsers unique users for suggestions.

If you set to TRUE, Amazon Kendra ignores all user information and learns from all queries.

§minimum_number_of_querying_users: Option<i32>

The minimum number of unique users who must search a query in order for the query to be eligible to suggest to your users.

Increasing this number might decrease the number of suggestions. However, this ensures a query is searched by many users and is truly popular to suggest to users.

How you tune this setting depends on your specific needs.

§minimum_query_count: Option<i32>

The the minimum number of times a query must be searched in order to be eligible to suggest to your users.

Decreasing this number increases the number of suggestions. However, this affects the quality of suggestions as it sets a low bar for a query to be considered popular to suggest to users.

How you tune this setting depends on your specific needs.

§attribute_suggestions_config: Option<AttributeSuggestionsUpdateConfig>

Configuration information for the document fields/attributes that you want to base query suggestions on.

Implementations§

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impl UpdateQuerySuggestionsConfigInput

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pub fn index_id(&self) -> Option<&str>

The identifier of the index with query suggestions you want to update.

Source

pub fn mode(&self) -> Option<&Mode>

Set the mode to ENABLED or LEARN_ONLY.

By default, Amazon Kendra enables query suggestions. LEARN_ONLY mode allows you to turn off query suggestions. You can to update this at any time.

In LEARN_ONLY mode, Amazon Kendra continues to learn from new queries to keep suggestions up to date for when you are ready to switch to ENABLED mode again.

Source

pub fn query_log_look_back_window_in_days(&self) -> Option<i32>

How recent your queries are in your query log time window.

The time window is the number of days from current day to past days.

By default, Amazon Kendra sets this to 180.

Source

pub fn include_queries_without_user_information(&self) -> Option<bool>

TRUE to include queries without user information (i.e. all queries, irrespective of the user), otherwise FALSE to only include queries with user information.

If you pass user information to Amazon Kendra along with the queries, you can set this flag to FALSE and instruct Amazon Kendra to only consider queries with user information.

If you set to FALSE, Amazon Kendra only considers queries searched at least MinimumQueryCount times across MinimumNumberOfQueryingUsers unique users for suggestions.

If you set to TRUE, Amazon Kendra ignores all user information and learns from all queries.

Source

pub fn minimum_number_of_querying_users(&self) -> Option<i32>

The minimum number of unique users who must search a query in order for the query to be eligible to suggest to your users.

Increasing this number might decrease the number of suggestions. However, this ensures a query is searched by many users and is truly popular to suggest to users.

How you tune this setting depends on your specific needs.

Source

pub fn minimum_query_count(&self) -> Option<i32>

The the minimum number of times a query must be searched in order to be eligible to suggest to your users.

Decreasing this number increases the number of suggestions. However, this affects the quality of suggestions as it sets a low bar for a query to be considered popular to suggest to users.

How you tune this setting depends on your specific needs.

Source

pub fn attribute_suggestions_config( &self, ) -> Option<&AttributeSuggestionsUpdateConfig>

Configuration information for the document fields/attributes that you want to base query suggestions on.

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impl UpdateQuerySuggestionsConfigInput

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pub fn builder() -> UpdateQuerySuggestionsConfigInputBuilder

Creates a new builder-style object to manufacture UpdateQuerySuggestionsConfigInput.

Trait Implementations§

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impl Clone for UpdateQuerySuggestionsConfigInput

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fn clone(&self) -> UpdateQuerySuggestionsConfigInput

Returns a duplicate of the value. Read more
1.0.0 · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for UpdateQuerySuggestionsConfigInput

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl PartialEq for UpdateQuerySuggestionsConfigInput

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fn eq(&self, other: &UpdateQuerySuggestionsConfigInput) -> bool

Tests for self and other values to be equal, and is used by ==.
1.0.0 · Source§

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for UpdateQuerySuggestionsConfigInput

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