amazonka-kendra-2.0: Amazon KendraFrontendService SDK.
Copyright(c) 2013-2023 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellSafe-Inferred
LanguageHaskell2010

Amazonka.Kendra.UpdateQuerySuggestionsConfig

Description

Updates the settings of query suggestions for an index.

Amazon Kendra supports partial updates, so you only need to provide the fields you want to update.

If an update is currently processing (i.e. 'happening'), you need to wait for the update to finish before making another update.

Updates to query suggestions settings might not take effect right away. The time for your updated settings to take effect depends on the updates made and the number of search queries in your index.

You can still enable/disable query suggestions at any time.

UpdateQuerySuggestionsConfig is currently not supported in the Amazon Web Services GovCloud (US-West) region.

Synopsis

Creating a Request

data UpdateQuerySuggestionsConfig Source #

See: newUpdateQuerySuggestionsConfig smart constructor.

Constructors

UpdateQuerySuggestionsConfig' 

Fields

  • includeQueriesWithoutUserInformation :: Maybe 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.

  • minimumNumberOfQueryingUsers :: Maybe Natural

    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.

  • minimumQueryCount :: Maybe Natural

    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.

  • mode :: Maybe 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.

  • queryLogLookBackWindowInDays :: Maybe Int

    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.

  • indexId :: Text

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

Instances

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ToJSON UpdateQuerySuggestionsConfig Source # 
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ToHeaders UpdateQuerySuggestionsConfig Source # 
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ToPath UpdateQuerySuggestionsConfig Source # 
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ToQuery UpdateQuerySuggestionsConfig Source # 
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AWSRequest UpdateQuerySuggestionsConfig Source # 
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Generic UpdateQuerySuggestionsConfig Source # 
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Associated Types

type Rep UpdateQuerySuggestionsConfig :: Type -> Type #

Read UpdateQuerySuggestionsConfig Source # 
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Show UpdateQuerySuggestionsConfig Source # 
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NFData UpdateQuerySuggestionsConfig Source # 
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Eq UpdateQuerySuggestionsConfig Source # 
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Hashable UpdateQuerySuggestionsConfig Source # 
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type AWSResponse UpdateQuerySuggestionsConfig Source # 
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type Rep UpdateQuerySuggestionsConfig Source # 
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type Rep UpdateQuerySuggestionsConfig = D1 ('MetaData "UpdateQuerySuggestionsConfig" "Amazonka.Kendra.UpdateQuerySuggestionsConfig" "amazonka-kendra-2.0-IHloXAWlYIS8YTp1gXe6J" 'False) (C1 ('MetaCons "UpdateQuerySuggestionsConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "includeQueriesWithoutUserInformation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: (S1 ('MetaSel ('Just "minimumNumberOfQueryingUsers") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "minimumQueryCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :*: (S1 ('MetaSel ('Just "mode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Mode)) :*: (S1 ('MetaSel ('Just "queryLogLookBackWindowInDays") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "indexId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newUpdateQuerySuggestionsConfig Source #

Create a value of UpdateQuerySuggestionsConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:includeQueriesWithoutUserInformation:UpdateQuerySuggestionsConfig', updateQuerySuggestionsConfig_includeQueriesWithoutUserInformation - 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.

$sel:minimumNumberOfQueryingUsers:UpdateQuerySuggestionsConfig', updateQuerySuggestionsConfig_minimumNumberOfQueryingUsers - 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.

$sel:minimumQueryCount:UpdateQuerySuggestionsConfig', updateQuerySuggestionsConfig_minimumQueryCount - 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.

$sel:mode:UpdateQuerySuggestionsConfig', updateQuerySuggestionsConfig_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.

$sel:queryLogLookBackWindowInDays:UpdateQuerySuggestionsConfig', updateQuerySuggestionsConfig_queryLogLookBackWindowInDays - 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.

$sel:indexId:UpdateQuerySuggestionsConfig', updateQuerySuggestionsConfig_indexId - The identifier of the index with query suggestions you want to update.

Request Lenses

updateQuerySuggestionsConfig_includeQueriesWithoutUserInformation :: Lens' UpdateQuerySuggestionsConfig (Maybe Bool) Source #

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.

updateQuerySuggestionsConfig_minimumNumberOfQueryingUsers :: Lens' UpdateQuerySuggestionsConfig (Maybe Natural) Source #

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.

updateQuerySuggestionsConfig_minimumQueryCount :: Lens' UpdateQuerySuggestionsConfig (Maybe Natural) Source #

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.

updateQuerySuggestionsConfig_mode :: Lens' UpdateQuerySuggestionsConfig (Maybe Mode) Source #

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.

updateQuerySuggestionsConfig_queryLogLookBackWindowInDays :: Lens' UpdateQuerySuggestionsConfig (Maybe Int) Source #

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.

updateQuerySuggestionsConfig_indexId :: Lens' UpdateQuerySuggestionsConfig Text Source #

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

Destructuring the Response

data UpdateQuerySuggestionsConfigResponse Source #

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Generic UpdateQuerySuggestionsConfigResponse Source # 
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Read UpdateQuerySuggestionsConfigResponse Source # 
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Show UpdateQuerySuggestionsConfigResponse Source # 
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NFData UpdateQuerySuggestionsConfigResponse Source # 
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Eq UpdateQuerySuggestionsConfigResponse Source # 
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type Rep UpdateQuerySuggestionsConfigResponse Source # 
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type Rep UpdateQuerySuggestionsConfigResponse = D1 ('MetaData "UpdateQuerySuggestionsConfigResponse" "Amazonka.Kendra.UpdateQuerySuggestionsConfig" "amazonka-kendra-2.0-IHloXAWlYIS8YTp1gXe6J" 'False) (C1 ('MetaCons "UpdateQuerySuggestionsConfigResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newUpdateQuerySuggestionsConfigResponse :: UpdateQuerySuggestionsConfigResponse Source #

Create a value of UpdateQuerySuggestionsConfigResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.