SY SHUYING 18mm Mink Lashes Natural Look 3D Real Mink Eyelashes Fluffy False Eyelashes Wispy Handmade Luxury Volume Fake Eye Lashes (3 Pairs, Doll Honey Queen)

SY SHUYING 18mm 3D Real Mink Lashes Natural Look Soft Reusable Luxurious Volume 5D Fake Eyelashes 3 Packs Warming Tips: Dear customer, when you get the lashes, you may find that there may be glue on the band. Please don't worry, it is used to hold the lashes in place and prevent them from being lost in transit. You can try to gently pull off the residual glue, will not affect the normal use. Product Quality: SY lashes are 100% handmade, so there may be a little differences between each pair of eyelashes. If you have any quality problem, please don't hesitate to message us via Amazon. We'll solve the problem for you. About Us: √ Continuously improving our products. √ High requirements for the details. √ Have a persistent adherence and pursuit of quality. √ Quality is promised, not satisfied 100% refund. Why Choose SY Lashes? Handmade & High Quality 100% Cruelty Free Wispy Fluttery & Fluffy Volume Comfortable Flexible Cotton Band Durable & Reusable up to 30 Wears How to Apply SY-SHUYING Lashes? 1) Carefully remove the eyelashes from the case with tweezers. 2) Compare false eyelashes with your eye line length, trim to suitable length and width. 3) Add glue along the false eyelash root. 4) Hold the eyelash on the root of your natural lashes with pressure. 5) If necessary, apply eye shadow or eyeliner to make your eye line look more natural. Note:Glue is not included Every woman is eager to have a pair of charming eyes, which can bring hope, love and confidence to women. SY-SHUYING hope women all over the world can make themselves more confident with a pair of eyelashes. A pair of right false eyelashes can always boost your confidence by making your eyes brighter and more flattering. Just trust SY SHUYING brand with your false eyelashes. Let everyone be enchanted in your charming eyes!

ASIN

B08PCXH7M2

Embedding

CLIP ViT-L/14 · 768d

Distance metric

cosine

Doc fetch

2ms·cache hitGET /v2/namespaces/amazon-products/documents/B08PCXH7M2

How it works

Similar query

21msnearest_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.