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
- Claude Opus 5.5, GPT-6 Sol, GPT-6 Luna, and a new price war - 22nd September 2026
- Jev introduces a new shape of LLM - System One, aka Decision Models - 21st September 2026
- Generating running routes with GPT-6 Astra and ChatGPT Work - 12th September 2026