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getDiscountsByVectorSearch

Semantic (vector) search for discounts.

Description​

This method performs a semantic (vector) search for discounts from a natural-language query - it matches on meaning rather than exact keywords. It returns a Promise that resolves to an IDiscountsResponse object - a container with items (the discounts) and total.

.getDiscountsByVectorSearch(

, , ,

);

Parameters schema​

Schema

body(required): IDiscountsVectorSearch
Vector search body
example:

{ queryText: "winter sale" }

body.queryText(required): string
Natural-language search query.
example: "winter sale"

body.vectorDistanceThreshold: number
Override of the cosine distance threshold (0..2).
example: 0.3

body.maxHits: number
Top-K candidates fetched before pagination. Default: 100. Max: 500.
example: 10

body.debug: boolean
When true, each returned item gets a distance field.
example: false

langCode: string
Language code. Default: "en_US"
example: "en_US"

offset: number
Parameter for pagination. Default: 0
example: 0

limit: number
Parameter for pagination. Default: 30
example: 30

Examples​

Minimal example​

const response = await Discounts.getDiscountsByVectorSearch({ queryText: 'winter sale' });

Example with attributes​

const response = await Discounts.getDiscountsByVectorSearch(
{
queryText: 'winter sale',
vectorDistanceThreshold: 0.3,
maxHits: 50,
debug: true,
},
'en_US',
0,
30,
);

Example response​

{
"items": [],
"total": 0
}

Response schema​

Schema: IDiscountsResponse

items: IDiscountsEntity[]
Array of discount entities.

items.id: number
The unique identifier of the discount.

items.attributeSetId: number | null
The identifier of the attribute set linked to the discount, or null when no set is linked.

items.localizeInfos: ILocalizeInfo
The name of the discount.

items.version: number
The version of the discount.

items.identifier: string
The identifier of the discount.

items.type: IDiscountType
The type of the discount.

items.startDate: string
The start date of the discount.

items.endDate: string
The end date of the discount.

items.discountValue: IDiscountValue
The value of the discount, including its type and amount limits.

items.conditionLogic: string
The logic of the discount. Possible values are "AND" | "OR".

items.conditions: IDiscountCondition[]
The conditions of the discount.

items.exclusions: Record<string, unknown> | null
The exclusions of the discount.

items.gifts: Record<string, unknown> | null
The gifts of the discount.

items.giftsReplaceCartItems: boolean
Whether the gifts replace cart items.

items.userGroups: Record<string, unknown> | null
The user groups of the discount.

items.userExclusions: Record<string, unknown> | null
The user exclusions of the discount.

items.attributeValues: IAttributeValues
The attribute values of the discount.

items.attributeSetIdentifier: string
The identifier of the attribute set.

items.bonusEvent: Record<string, unknown>
Bonus event configuration.

items.position: number
Position number for sorting.
example: 1

items.total: number | string
Total count of related entries.
example: "1"

items.distance: number
Cosine distance to the query. Returned only by the semantic (vector) search endpoint when debug: true is passed in the search body.
example: 0.12

total: number
Total number of discounts.

ℹ️ Semantic search matches on meaning, not on the literal text. For keyword matching across every entity type at once use globalSearch().