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Lenovo ThinkPad Yoga Signature Edition - 12.5" 2-in-1 Touchscreen Notebook PC - Intel i5 Haswell / 8GB RAM / 128GB SSD / WiFi / Webcam / Windows 8.1 - Black
Electronics

Lenovo ThinkPad Yoga Signature Edition - 12.5" 2-in-1 Touchscreen Notebook PC - Intel i5 Haswell / 8GB RAM / 128GB SSD / WiFi / Webcam / Windows 8.1 - Black

★★★3.4·26 ratings

The ThinkPad Yoga 12.5 Multi-Touch Ultrabook Computer from Lenovo features a unique 360° multi-mode design. Easily change between four modes — Laptop, Stand, Tablet, and Tent — while your system automatically switches system settings and locks the keyboard in place. Laptop Mode features the traditional layout of a laptop where you use the keyboard and touchpad to navigate the screen. Stand Mode - you can watch videos and view photos with little to no touch interactions with the computer. Tablet Mode - push the screen all the way back, transforming the ThinkPad Yoga into a tablet. Tent Mode - stand the Yoga up, resembling a tent. With an efficient and robust 128GB SSD storage, the ThinkPad Yoga has plenty of space for all of your important files, videos, photos, and presentations. And the Lenovo Performance Booster enhances performance by up to five times. The ThinkPad Yoga's durable magnesium-alloy frame and heavy-duty, scratch- and smudge-resistant Corning Gorilla Glass display means it can handle tough treatment from even the hardiest road warrior. Boasting an Intel i5 4th Gen CPU and 8GB of RAM memory - the ThinkPad Yoga will handle all your computing with ease. The ThinkPad Yoga features WiFi connectivity and Bluetooth, so you can stay connected even while on the go and the built-in webcam allows you to stay connected to family and friends.

ASIN
B00KZIXGIU
Embedding
CLIP ViT-L/14 · 768d
Distance metric
cosine
Doc fetch
2mscache hitGET /v2/namespaces/amazon-products/documents/B00KZIXGIU
Similar query
22msnearest_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.

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