Yescool Faux Fur Weighted Blanket 48"x72" 15lbs,Fuzzy Cozy Shaggy Weighted Blanket Queen Size for Adult，Fluffy Sherpa Comfy Heavy Blanket for Women Men,Warm Soft Plush Pink Blanket for Couch Sofa Bed

🍍【IMPROVE YOUR SLEEP】: If you have trouble falling asleep late at night, choose the Yescool Gradient weighted Blanket twin size, the weighted blanket combines luxury and comfort for relaxation, 500GSM fabric gives you the gentlest and most comfortable hug, just the right weight to stop tossing and turning in bed all night and start enjoying you The quality sleep you deserve. 🍍【CHOOSE THE RIGHT WEIGHTE】: If you are using a weighted blanket for the first time, we recommend that you choose a weighted blanket that is 8% to 12% of your body weight, it will take your body about a week to get used to the weight, from a lighter weight you prefer . Please note that weighted blankets over 12 pounds are suitable for adults, not children. 🍍【SOFT AS COTTON】: Yescool Gradient Weighted Blanket 15lbs features a 260GSM FAUX FUR Fabric and 240GSM SHERPA Fabric, a double-sided design that keeps the product warm. Without a doubt, it is the best choice for winter.

ASIN

B0B74PC65W

Embedding

CLIP ViT-L/14 · 768d

Distance metric

cosine

Doc fetch

2ms·cache hitGET /v2/namespaces/amazon-products/documents/B0B74PC65W

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.