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☛☛Size: 34 ☛☛Foot Length: 22cm/8.7" ☛☛Foot wide: 8-8.5cm/3.2-3.4" CN: 220 EU: 34 UK: 3.5 US: 4.5 ☛☛Size: 35 ☛☛Foot Length: 22.5cm/8.9" ☛☛Foot wide: 8.5cm/3.4" CN: 225 EU: 35 UK: 4 US: 5 ☛☛Size: 36 ☛☛Foot Length: 23cm/9.1" ☛☛Foot wide: 8.5-9cm/3.4-3.5" CN: 230 EU: 36 UK: 4.5 US: 5.5 ☛☛Size: 37 ☛☛Foot Length: 23.5cm/9.3" ☛☛Foot wide: 9cm/3.5" CN: 235 EU: 37 UK: 5 US: 6 ☛☛Size: 38 ☛☛Foot Length: 24cm/9.5" ☛☛Foot wide: 9-9.5cm/3.5-3.7" CN: 240 EU: 38 UK: 5.5 US: 6.5 ☛☛Size: 39 ☛☛Foot Length: 24.5cm/9.7" ☛☛Foot wide: 9.5cm/3.7" CN: 245 EU: 39 UK: 6 US: 7 ☛☛Size: 40 ☛☛Foot Length: 25cm/9.8" ☛☛Foot wide: 9.5-10cm/3.7-3.9 CN: 250 EU: 40 UK: 6.5 US: 7.5

ASIN

B085VKH5W3

Embedding

CLIP ViT-L/14 · 768d

Distance metric

cosine

Doc fetch

2ms·cache hitGET /v2/namespaces/amazon-products/documents/B085VKH5W3

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.