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Common configuration decisions and where to make them.
I want to…Where to configureSetting
Hide a field from the storefront but use it internallyField SettingsSensitive Data (toggle on)
Make a field available as a facetField SettingsFilterable & Merchandisable
Treat a field as exact match in searchField SettingsSearchable → Match Type: Exact
Tolerate typos in searchField SettingsSearchable → Match Type: Fuzzy
Make typing prefix match (e.g. “categ” → category)Field SettingsAllow Prefix Search
Use a field for product-type tagging in queriesField SettingsNLP → Match Type, Resulting Effect
Boost matching products rather than filterField SettingsNLP → Resulting Effect: Boost Results
Suppress specific values from NLP taggingField SettingsNLP → Exclude from NLP/NER matching
Treat a comma-separated field as an arrayField SettingsMulti-Value (with delimiter)
Enable Gen AI semantic searchCatalog SettingsAllow Vector for Gen AI → Text Vector
Enable visual-similarity matchingCatalog SettingsAllow Vector for Gen AI → Image Vector
Set the product-type signal across the catalogCatalog SettingsPrecision & Personalization Mode
Hide out-of-stock products from storefrontCatalog SettingsOut-of-Stock Products → Exclude
Group similar colors (red → burgundy, scarlet)Catalog SettingsColor Family tab
Make a variant attribute available for slicingCatalog SettingsVariant Slicing Attributes
Switch to semantic search engineAlgorithmRelevance → Search Engine: Gen AI or Hybrid
Pick the Gen AI embedding modelAlgorithmRelevance → Gen AI Engine Configuration
Default which variant leads the tileAlgorithmRelevance → Variant Slicing + Hero Variant
Boost products by total sold across channelsAlgorithmPerformance → Custom Performance Signal
Use last-year same-week data for seasonal rankingAlgorithmPerformance → Time Decay: Previous Year
Personalize across categories (e.g. brand)AlgorithmPersonalization → Global Affinities
Boost newly-added productsAlgorithmNewness → Newness Field + Period + Weightage
Use pure relevance with no commercial signalsAlgorithmRanking → Mode: Relevance First