Eifelheim

Review “Carl Sagan meets Umberto Eco. . . .Bursting with pungent historical detail and Big Theme musings, this dense, provocative novel offers big rewards to patient readers.” ― Entertainment Weekly

ASIN

0765319101

Embedding

CLIP ViT-L/14 · 768d

Distance metric

cosine

Doc fetch

6ms·cache hitGET /v2/namespaces/amazon-products/documents/0765319101

How it works

Similar query

49msnearest_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.