product-vector-search

These rows are real and already here. Running an operation against them downloads a DynamoDB-compatible engine, about 850 KB, and executes it in this tab.

Try an example

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

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

Run an operation to see the raw engine response.

table product-vector-searchkeys PK / SKitems 6
Catalogue Semantic Search · a DynamoDB access-pattern modelOpen on accesspatterns.dev ↗