Kalisa Orange Brown Lace Wig Long Straight Auburn Lace Front Wig Pre Plucked Synthetic Middle Part Wig Heat Resistance Fiber Daily Makeup Wigs for Girls Women 24 Inch

Note: Our wig is engaged in building one brand reputation,our wigs promise the quality and provide the fashion comfortable and healthy synthetic hair wigs for our every customer, Timely update, strict quality control, ensure that you can find your favorite wig in our store. Hair Material:100%High Quality Heat Resistant Synthetic Fiber Hair Texture: Long Straight Wig Hair Color: Orange Brown Hair Density:150% Item Type:Synthetic Lace Front Wig Cap Size: 22.5 Inch Circumference(average size)  Internal parts: 3 combs & 2 adjustable straps Intended Use: Wigs for Fashion Women When you wear this wig, you will be the charming lady     Wear the Fashion Synthetic Wig: 1.Give the synthetic wig few shakes firstly when took out of the package to restore the hair comply with original shapes. 2.Tight your own hair, put on the wig cap to make all of your hair covered by the stretchable cap. 3.Put on the Long Colorful wig, adjust the straps and to make sure the wig size is suitable for your head as well as the wig will not fall down. 4.After adjustments the details, comb the wig make it to appear more nature and beauty.   Wash the Synthetic Wig: 1.Soaking the hair gently in cold or warm water with mild conditioning shampoo. 2.Washing the synthetic wigs towards to the same orientation. 3.Using your fingers through the wig gently and comb it from top to bottom in the mild water.  4.Lay flat the wig and let it air dry.   Kindly Reminder: All synthetic hair wig will be happened with more or less shedding and Tangling which is normal.

ASIN

B07ZV53KNY

Embedding

CLIP ViT-L/14 · 768d

Distance metric

cosine

Doc fetch

2ms·cache hitGET /v2/namespaces/amazon-products/documents/B07ZV53KNY

How it works

Similar query

27msnearest_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.