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MicroNN: An On-device Disk-resident Updatable Vector Database

Summary: On-device, disk-resident vector search for updatable workloads with hybrid queries (NN + attribute filters) under tight memory. Embeddable MicroNN supports continuous inserts/deletes and delivers ~7 ms top-100 with 90% recall on a million-scale benchmark using ~10 MB RAM. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7107
Venue
SIGMOD
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,409 | 27.59%
DOI
10.1145/3722212.3724444

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