The infrastructure behind AI search in Figma
SMRTR summary
Figma's new AI-powered search features enable users to find designs using screenshots, layer selections, or text descriptions across their organization. Component search now has semantic understanding for flexible keyword searches. These features use an embedding model to convert images and text into numerical representations. Challenges included scaling, indexing billions of entries, and cost optimization. The enhancements aim to streamline workflow and improve design system management.
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