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
- Datasette Apps: Host custom HTML applications inside Datasette - 18th June 2026
- GLM-5.2 is probably the most powerful text-only open weights LLM - 17th June 2026
- Publishing WASM wheels to PyPI for use with Pyodide - 13th June 2026