📊

Semantic Re-Ranking

Takes initial keyword search results and re-orders them using semantic understanding of user intent. See which products move up, which move down, and whether the top result changes. Position 1 is the difference between a sale and a bounce.

Every search page. Re-ranking runs on every query at 45ms vs 20-100ms vector re-ranking, no separate infra
Position 1 matters. 20%+ CTR lift when the right product is in the top spot. BM25 can't do this
No embedding infra. Semantic scoring without separate vector databases or embedding pipelines

The Problem

Your search returns relevant products in the wrong order. Position 1 has 20%+ higher CTR than position 3. BM25 can't understand 'gift for a coffee lover' means pour-over sets outrank mugs.

How LFM Compares

Keyword scoring gets the right results in the wrong order. Vector re-ranking adds infrastructure and latency. LFM re-ranks 50 results in 45ms with no separate embedding layer.

What LFM Unlocks

Semantic re-ranking of 50 results in 45ms at near-zero cost per call. No separate embedding infrastructure.

📊
Semantic Re-Ranking
LFM re-orders search results by semantic relevance, not just keywords. Watch products shuffle to better positions!

Enter Search Query

This demo is fine-tuned on sample data. Results improve with your data.

Build Your Model on Workbench →Talk to Our Team