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)
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Authors
- 1. Jeffrey Pound
- 2. Floris Chabert
- 3. Arjun Bhushan
- 4. Ankur Goswami
- 5. Anil Pacaci
- 6. Shihabur Rahman Chowdhury
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