WAVVA Bedding Luxury 4-Pcs Bed Sheets Set- 1800 Deep Pocket, Wrinkle & Fade Resistant (Full, White)

Sheets Size TWIN SET - 3pc - 1 flat sheet 66"x96", 1 fitted sheet 39"x75", 1 pillowcase 20"x30" FULL SET - 4pc - 1 flat sheet 81"x96", 1 fitted sheet 54"x75", 2 pillowcases 20"x30" QUEEN SET - 4pc - 1 flat sheet 102"x90", 1 fitted sheet 80"x60", 2 pillowcases 20"x30" KING SET - 4pc - 1 flat sheet 108"x102", 1 fitted sheet 80"x78", 2 pillowcases 20"x40" CAL KING SET - 4pc - 1 flat sheet 108"x102", 1 fitted sheet 84"x72", 2 pillowcases 20"x40" WAVVA Bedding Ultimate blend of craftsmanship and elegance, our beddings are designed to offer you a unique and sophisticated sleeping experience. Light to touch, cool and exceptional strength you can count on, our sheet sets assure you a great sleep. Designed with simple sophistication and ability to retain its vibrancy these double brushed microfiber collections are the ultimate for light weight, crisp sleeping comfort. Benefits Microfibers are the newest bedding fabric and is distinctive for its unique thinness and strength. These fibers are even thinner than most luxurious natural fibers such as silk. Woven tightly, it guarantees extra strength and durability. This fabric has desirable properties such as stain resistance, breathing ability, wrinkle resistance, luxurious appearance and easy cleaning. Easy to Care for Machine wash in cold with like colors. Tumble dry low. Do not bleach. 100% Satisfaction Guaranteed At Bed Linens and More, we guarantee your 100% satisfaction! If within 30 days you are not 100% satisfied return your product for a full refund! NO QUESTIONS ASKED! Pamper yourself with the softness of Luxury sheets at a fraction of the price!

ASIN

B07HYD2P1R

Embedding

CLIP ViT-L/14 · 768d

Distance metric

cosine

Doc fetch

3ms·cache hitGET /v2/namespaces/amazon-products/documents/B07HYD2P1R

How it works

Similar query

25msnearest_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.