Catalogue Semantic Search: embedded console

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A similarity question, narrowed to what you can actually sell.

Request

Operation

Vector indexwhich index to search: a vector search has no base table to fall back onSearch vectora list of N values, not wrapped in L

[{"N":"0.94"}, {"N":"0.08"}, {"N":"0.04"}, {"N":"0.02"}]

TopK1 to 100, and there is no page twoSearchConditionExpressionoptionalonly attributes the index declared in its SearchSchema, only =

Execute against the local Dynoxide engine

PK(pk)

SK(sk)

category

embedding

inStock

name

price

CATEGORY#outdoor

PRODUCT#p-101S

outdoorS

[0.94, 0.08, 0.04, 0.02]L

yesS

Winter sleeping bagS

240N

CATEGORY#outdoor

PRODUCT#p-102S

outdoorS

[0.88, 0.15, 0.06, 0.03]L

yesS

Insulated sleeping matS

38N

CATEGORY#outdoor

PRODUCT#p-103S

outdoorS

[0.85, 0.19, 0.08, 0.04]L

noS

Thermal linerS

22N

CATEGORY#outdoor

PRODUCT#p-104S

outdoorS

[0.12, 0.92, 0.07, 0.03]L

yesS

Folding camp cupS

15N

CATEGORY#outdoor

PRODUCT#p-105S

outdoorS

[0.09, 0.14, 0.93, 0.05]L

yesS

Head torchS

46N

CATEGORY#cycling

PRODUCT#p-201S

cyclingS

[0.07, 0.10, 0.06, 0.95]L

yesS

Road helmetS

89N

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