Dataset · Hugging Face

YellowPhoenix/exact-vector-search-cascade-10m

Name: exact-vector-search-cascade-10m
Creator: YellowPhoenix
License: agpl-3.0
Keywords: task_categories:feature-extraction, task_categories:text-retrieval, source_datasets:original, language:en, license:agpl-3.0, size_categories:n<1K, format:imagefolder, modality:image, modality:video, library:datasets, library:mlcroissant, region:us, exact-search, vector-search, retrieval-cascade

100% Exact in 8 Nanoseconds — A Retrieval Cascade Across Apple Watch, iPhone, and Mac at 10M-Record Scale Measurement kit for "100% Exact in 8 Nanoseconds: A Retrieval Cascade Across Apple Watch, iPhone, and Mac at 10M-Record Scale" (Marc John Sawyer, 2026). One corpus, encoded once, into three index structures — an exact-hash tier that answers identity lookups in single-digit nanoseconds, a binary HNSW graph for approximate similarity, and an exhaustive flat scan that is 100%… See the full description on the dataset page: https://huggingface.co/datasets/YellowPhoenix/exact-vector-search-casca

View on Hugging FaceReport an issue

Author / organization	YellowPhoenix
License (as declared)	agpl-3.0
Downloads	184 (as reported by Hugging Face)
Likes	0
Created	6 November 2026
Last updated at source	7 November 2026

exact-searchvector-searchretrieval-cascadehnswapple-watchiphonemacon-device-retrievaloffline-searchbenchmark-data

Embed this entry

<iframe src="https://silytics.si/embed/item/a94f3c3b-9c3b-4801-b9fb-f640fdb45171" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from YellowPhoenix

YellowPhoenix/fully-offline-semantic-search-apple-watchDataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 7 November 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.