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WUAI-Women Floral Printed Jumpsuits Casual Sleeveless Spaghetti Strap Rompers Baggy Bibs Overalls Wide Leg Pants Plus Size
Sports and Outdoors

WUAI-Women Floral Printed Jumpsuits Casual Sleeveless Spaghetti Strap Rompers Baggy Bibs Overalls Wide Leg Pants Plus Size

★★★2.6·178 ratings

·Material: High-quality Cotton, Polyester,Spandex, Soft/ Lightweight/Breathable/Stretchy fabric, make you feel comfortable when wearing. ·Features: The pants is a lifestyle that combines style, comfort, fit, and performance. The high quality active wear is affordable and accessible, perfect for fitness enthusiasts and everyday athleisure. ·Occasion: Perfect for yoga, dance, school, vacation, beach, jogger, trousers, great for hot summer days, also suitable for wearing in the cool season. ·Easy care, machine wash in cold water or hand wash.Summer shorts,beach shorts,Denim shorts,active shorts,plus size shorts,comfy shorts. ·womens pants/pants for work/bell bottom jeans/flare jeans/summer shorts/denim shorts/womens linen pants/yoga pants/workout leggings. ·womens pants jeans denim joggers capris shorts slacks/womens pants for work/high waist/relaxed fit/linen/plus size/loose fit/yoga pants/skinny jeans ripped. ·Note: Please allow 0.5-1.0 inches measuring deviation due to manual measurement and different stretch of fabrics. ·Note :Size runs small,Please check the size chart before purchase and choose 1-2 size up. ·If you have any questions, please feel free to contact us,we will answer you in 24 hours. ·Others:2121 summer pants cargo mens pants khaki joggers for men track chino pants ripped jeans dress pants tactical plaid waterproof snowboard linen pants jogger jeans slacks for men work pant suits yoga corduroy pajama skinny distressed jeans leather flat front sports running athletic cargo trousers capri lounge pants workout casual cropped pants fishing climbing suit pants skate cool ski bibs dress slacks casual short beach

ASIN
B093QC9V2Y
Embedding
CLIP ViT-L/14 · 768d
Distance metric
cosine
Doc fetch
3mscache hitGET /v2/namespaces/amazon-products/documents/B093QC9V2Y
Similar query
47msnearest_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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