17th February 2026
Research
SQLite Hamming Distance Extension: Scalar vs Virtual Table
— Exploring efficient Hamming distance search in SQLite for binary embeddings, this project implements both a scalar function extension and a virtual table extension as described in "Hamming Distance for Hybrid Search in SQLite". The scalar function scans and sorts rows to locate nearest matches, while the virtual table caches embeddings and leverages a max-heap to deliver top-k results up to seven times faster.
Recent articles
- Mr. Chatterbox is a (weak) Victorian-era ethically trained model you can run on your own computer - 30th March 2026
- Vibe coding SwiftUI apps is a lot of fun - 27th March 2026
- Experimenting with Starlette 1.0 with Claude skills - 22nd March 2026