Boolean Ranking for Agentic Search
lintool · x · 2026-07-17
This post introduces a Boolean retrieval/ranking approach for agentic search:
- Retrieval relies solely on match proximity and match density.
- It requires no learning models, vector retrieval, or even term frequency calculations.
- The goal is to provide a simpler, more controllable ranking mechanism for agentic search.
The original tone playfully frames this as an upgrade over "grep / BM25 / Boolean," emphasizing that the solution is far more rudimentary than one might imagine.
More from coding & agent
- Soft Clamp cuts tool-call overuse in multi-teacher distillation, from 13.7% to 9.0% — antgroup · 2026-07-21
- Agent harness memory loss and compaction are still a major usability problem — adityaag · 2026-07-21
- SpecJudge runs locally on Ollama to pick the right-sized AI model for your project — jokiruiz · 2026-07-21
- A developer maps out six design rules for CLIs that humans and AI agents can both use — yujiezha · 2026-07-21
- A coding-agent skill that forces ADHD-friendly, answer-first output — ayghri · 2026-07-21
- A set of agent skills for CAD, robotics, and hardware design — earthtojake · 2026-07-21