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Query Expansion

Turn every search query into a comprehensive semantic expansion. Compare keyword vs cloud LLM vs LFM approaches, test persona-based rewriting for different shopper types, simulate A/B test revenue impact, and prove Shopify-scale throughput.

Beyond Algolia — Semantic expansion at keyword speed: 45ms LFM vs 200ms+ cloud LLM, invisible in autocomplete
Volume economics — Orders of magnitude cheaper at 10M queries/day vs cloud LLM expansion
Persona adaptability — Same query, different buyer. LEAP adds new vertical personas in minutes

The Problem

'Cozy blanket' should match 'fleece throw,' but keyword search can't. Algolia is fast but has no semantic expansion. Cloud LLMs expand well but at 200-500ms, visible in autocomplete.

How LFM Compares

Keyword search returns exact matches only — 'cozy blanket' won't find 'fleece throw.' Cloud expansion works but adds 200-500ms. LFM expands semantically at 45ms, invisible to users.

What LFM Unlocks

Semantic query expansion at 45ms, invisible to the user. Every vague query becomes 10+ rich terms. Orders of magnitude cheaper than cloud LLMs at scale.

Try these examples:

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

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