SnapCatalog: Shop-the-Look Search Without a Tagging Farm

SnapCatalog is presented as a product-catalog workflow built with Pixeltable that combines automated visual tagging and multimodal similarity search in a single SKU-based table. Product images are processed with Gemini to generate structured attributes such as category, colors, and short titles, while CLIP embeddings support both reverse image search for “shop-the-look” use cases and text queries such as “navy linen shirt.” The example application exposes routes to ingest products and retrieve visually similar SKUs, aiming to replace separate batch tagging jobs, CSV exports, vector databases, and distinct text-search pipelines. It is positioned as backend infrastructure rather than a marketplace, Shopify replacement, or hosted consumer search interface, with authentication and checkout remaining external. The text also advises using one CLIP embedding index for both image and text search, optionally constraining Gemini output with an existing taxonomy, and deploying the same application to Pixeltable Cloud through database, schema, and service updates.

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