Overview

This video introduces the search app and shows how it is implemented for a store. Once the app is installed, the store supports semantic search across its product data fields, so shoppers get relevant results even when they search in everyday language.

Search App – Installation

The example starts with a store that already has categories and products added. The search app is installed for this store, and semantic search then runs against the product data fields that are available.

Storefront – Search Results

Because the search is semantic, a phrase such as “I want a white T-shirt” or “I need a white T-shirt” doesn’t return an empty response. The white T-shirts available in the store appear on the product listing page.

Timeline

• 00:04 – Overview: the search app and its implementation
• 00:10 – Store with categories and products added
• 00:23 – Search app installed: semantic search on the available product data fields
• 00:33 – Everyday-language query returns results instead of an empty response
• 00:46 – White T-shirts shown on the product listing page

Related video: Semantic Search, which covers the same search app implementation.