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.
Discounts.getDiscountsByVectorSearch(
body*,
langCode,
offset,
limit
);
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": [
{
"id": 1,
"type": "DISCOUNT",
"attributeSetId": 31,
"conditionLogic": "AND",
"discountValue": {
"value": 10,
"maxAmount": 5,
"discountType": "FIXED_AMOUNT",
"applicability": "TO_PRODUCT"
},
"exclusions": null,
"gifts": null,
"giftsReplaceCartItems": false,
"userGroups": null,
"userExclusions": null,
"localizeInfos": {
"title": "Example discount"
},
"version": 0,
"identifier": "example_discount",
"startDate": "2026-03-14T14:55:19.928Z",
"endDate": "2026-07-31T13:55:24.647Z",
"attributeValues": {
"example_discount": {
"type": "string",
"value": "test value",
"isIcon": false,
"position": 0,
"additionalFields": {},
"isProductPreview": false
}
},
"conditions": [],
"bonusEvent": null,
"position": 1
}
],
"total": 1
}
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().