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Searching & filtering
Moving from clicks to natural language searches and applying filters.
User benefits
- Phrase needs in their own words, instead of learning drop-downs.
- Non-experts who avoided complex filters can now engage directly.
- Search becomes an iterative conversation, adjusting and narrowing naturally.
Examples from our library
Browse all examplesWhy does searching & filtering matter?
Humans think in sentences, not drop-downs, checkboxes, and toggles. We don't think "price: low to high", rather our first thought would be "I need affordable blue sneakers for my vacation." From there we would think on implementing this thought.
Traditional interfaces force us to adapt to them. This creates frustration and requires manual work that should
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Solid overview of emerging design
patterns and well organised content
patterns and well organised content
Jacob Sullivan, CPO at Faculty.aiUnlock this pattern
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Curated by aiverse team
Last updated on Sep 26, 2025
Published on Sep 26, 2025
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