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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.

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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.

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