AWS::Kendra::Index Relevance - Amazon CloudFormation
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

AWS::Kendra::Index Relevance

Provides information for tuning the relevance of a field in a search. When a query includes terms that match the field, the results are given a boost in the response based on these tuning parameters.

Syntax

To declare this entity in your Amazon CloudFormation template, use the following syntax:

JSON

{ "Duration" : String, "Freshness" : Boolean, "Importance" : Integer, "RankOrder" : String, "ValueImportanceItems" : [ ValueImportanceItem, ... ] }

Properties

Duration

Specifies the time period that the boost applies to. For example, to make the boost apply to documents with the field value within the last month, you would use "2628000s". Once the field value is beyond the specified range, the effect of the boost drops off. The higher the importance, the faster the effect drops off. If you don't specify a value, the default is 3 months. The value of the field is a numeric string followed by the character "s", for example "86400s" for one day, or "604800s" for one week.

Only applies to DATE fields.

Required: No

Type: String

Pattern: [0-9]+[s]

Minimum: 1

Maximum: 10

Update requires: No interruption

Freshness

Indicates that this field determines how "fresh" a document is. For example, if document 1 was created on November 5, and document 2 was created on October 31, document 1 is "fresher" than document 2. Only applies to DATE fields.

Required: No

Type: Boolean

Update requires: No interruption

Importance

The relative importance of the field in the search. Larger numbers provide more of a boost than smaller numbers.

Required: No

Type: Integer

Minimum: 1

Maximum: 10

Update requires: No interruption

RankOrder

Determines how values should be interpreted.

When the RankOrder field is ASCENDING, higher numbers are better. For example, a document with a rating score of 10 is higher ranking than a document with a rating score of 1.

When the RankOrder field is DESCENDING, lower numbers are better. For example, in a task tracking application, a priority 1 task is more important than a priority 5 task.

Only applies to LONG fields.

Required: No

Type: String

Allowed values: ASCENDING | DESCENDING

Update requires: No interruption

ValueImportanceItems

An array of key-value pairs for different boosts when they appear in the search result list. For example, if you want to boost query terms that match the "department" field in the result, query terms that match this field are boosted in the result. You can add entries from the department field to boost documents with those values higher.

For example, you can add entries to the map with names of departments. If you add "HR", 5 and "Legal",3 those departments are given special attention when they appear in the metadata of a document.

Required: No

Type: Array of ValueImportanceItem

Update requires: No interruption