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
- Notes on the xAI/Anthropic data center deal - 7th May 2026
- Live blog: Code w/ Claude 2026 - 6th May 2026
- Vibe coding and agentic engineering are getting closer than I'd like - 6th May 2026