FINPAC Hard Laptop Sleeve for MacBook Pro 14-inch 2023-2021 M2 M1, 13.3'' MacBook Air 2022-2018, 13'' MacBook Pro 2022-2016, Protective Case for Dell XPS 13, Surface Laptop, HP, Acer, Emerald Marble

【Wide Compatibility】Internal Dimension: 13.19 x 9.25 x 0.79 inches, compatible with MacBook Pro 14" A2779 M2 A2442 M1 Pro/Max (2023-2021), 13.6" MacBook Air M2 A2681 (2022), 13.3" MacBook Air M1 A2337 A2179 A1932 (2021-2018), 13.3" MacBook Pro M2 M1/A2338 A2251 A2289 A2159 A1989 A1706 A1708 (2022-2016), , 12.9'' iPad Pro 5th/4th/3rd Gen (2018-2021), Surface Laptop 3/2, Dell Inspiron 13/XPS 13, and other Dell/HP/Samsung/Acer/Toshiba/Tablets up to 13". 【Shockproof Laptop Sleeve】FINPAC 13-inch MacBook Air/Pro sleeve is consists of a semi-hard EVA shell with anti-scratching polyester to protect your laptops from external shock, scratches, dust and bumps. 【Superior Protective Sleeve】This laptop sleeve equips with 5mm thick paddings, provides your computer/tablet with 360° all-around protection, premium & durable YKK zippers for secure and long-lasting usage.

ASIN

B09C66LF8W

Embedding

CLIP ViT-L/14 · 768d

Distance metric

cosine

Doc fetch

2ms·cache hitGET /v2/namespaces/amazon-products/documents/B09C66LF8W

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.