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
- Publishing WASM wheels to PyPI for use with Pyodide - 13th June 2026
- Claude Fable is relentlessly proactive - 11th June 2026
- Initial impressions of Claude Fable 5 - 9th June 2026