When you rebuild the search index, the stored fields are searched and the terms contained in it, according to the stored algorithms, entered into the cache to speed up the search. In order for the product properties to be included immediately in the search in the frontend, you must clear the query and search cache after creating the table and fields. The search index must be rebuilt after a change! Otherwise, characters that are not letters, numbers or underscores will be replaced by a space.Įxample: Search keywords for item order number 1234-5678-90: active: "1234-5678-90" inactive: "1234", "5678", "90 This creates ideal conditions for every language and assortment.Įnable this option to save the values of this table field to the search index as specified. You can create different profiles to store your settings and configurations. With the use of profiles, the search can be configured for each language and subshop individually. Finally delete the cache under Settings > Cache/Performance > Clear Shop Cache and refresh the backend. After installing the extension go to the menu entry installed and refresh. Your new extension is now listed and can be installed. You need to login and click the refresh button. Navigate to Configuration > Plugin manager > My purchases. Complete the order process and login to the backend of your store. This extension can be found in our Shopware Store, the easiest way to find a specific plugin is the search-bar. The default search configuration in the Basic Settings will disappear from the menu after the Intelligent Search installation has been installed. After installing the plugin you will find the configuration area for the smart search under Configuration > Intelligent Search in your backend. You can test and purchase the plugin directly from our store, the marketplace for all Shopware extensions. In this case, you can use the normal search or take a look at the extensive enterprise search, which is available as part of a Shopware enterprise. The Intelligent Search is not compatible with Elasticsearch and therefore cannot be used.
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