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CHAIRAY Kpop ATEEZ Album Treasure Hoodie Wooyoung San Mingi Yeosang Pullover Hooded Sweater
Sports and Outdoors

CHAIRAY Kpop ATEEZ Album Treasure Hoodie Wooyoung San Mingi Yeosang Pullover Hooded Sweater

★★★★4.3·115 ratings

Size Information ----------------------------------- | Size |---Length---|-----Bust----| ----------------------------------- |--XXS-| 63cm/24.8"" | 86cm /33.8"" | ----------------------------------- |--XS--| 65cm/25.6"" | 92cm /36.2"" | ----------------------------------- |--S---| 67cm/26.4"" | 98cm /38.6"" | ----------------------------------- |--M---| 70cm/27.6"" | 104cm/40.9"" | ----------------------------------- |--L---| 73cm/28.7"" | 110cm/43.3"" | ----------------------------------- |--XL--| 76cm/29.9"" | 116cm/45.7"" | ----------------------------------- |--XXL-| 79cm/31.1"" | 122cm/48.0"" | ----------------------------------- |--3XL-| 81cm/31.9"" | 128cm/50.4"" | ----------------------------------- |--4XL-| 83cm/32.7"" | 134cm/52.8"" | ----------------------------------- 【Warmly Notice】 1. WASHING CARE: Machine or Hand Wash with Cold Water, Iron on low heat or hang dry, and wash it off with a neutral detergent. 2.Please refer to the size chart to select the appropriate size. 3.Due to the different manual measurement methods,may be 0.4~1.2 inch deviations, please allow some size differences. 4. Due to the differences between different monitors, the picture may not be guaranteed to reflect the actual color of the item. We guarantee that the style will be the same as the displayed image. 5. If you have any questions about the purchase process, you can email us and we will provide you with services 24 hours a day., we will deal with any problems you encounter as soon as possible.

ASIN
B09RT1MBXS
Embedding
CLIP ViT-L/14 · 768d
Distance metric
cosine
Doc fetch
1mscache hitGET /v2/namespaces/amazon-products/documents/B09RT1MBXS
Similar query
26msnearest_to_id → /query

Doc fetch goes through Layer's Aerospike pull-through cache; cache hit served the row without touching turbopuffer. The similar query asks Layer for nearest neighbors of the stored product vector — queries don't go through the doc cache, so no cache header is set.

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