LightOn says its agent search hits 86.27% accuracy with just 9.7 calls
IgorCarron · x · 2026-07-28
LightOn says its agent-oriented search system reaches 86.27% accuracy on Browse-Comp Plus while using only 9.7 search calls on average.
- The company claims this is 15–25% fewer search calls than the competitors directly above it on the benchmark.
- The pitch is that agent retrieval should not rely on brute force; better retrieval means knowing exactly where to look.
- The post points people to the product and the Hugging Face benchmark page for more details.
More from coding & agent
- Netlify says 60% of June 2026 signups made their first deploy through Drop — thisiskp_ · 2026-07-28
- Emblem says it can build an 80-slide cited deck in 35 minutes instead of 100 hours — rohanpaul_ai · 2026-07-28
- Claude Opus 5 keeps running Python scripts to edit files in coding workflows — samuelcolvin · 2026-07-28
- Vercel highlights its open-source stack, including Eve and agent-browser — evilrabbit_ · 2026-07-28
- The Modern Wait Equation: Fix AI Slop Now or Wait for the Next Model? — ilanbigio · 2026-07-28
- Kimi K3 pairs a 2.8T MoE with 1M context and multi-teacher post-training — novasarc01 · 2026-07-28