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To implement a search functionality that allows you to retrieve specific information about motor vehicles (like car, bike) from different categories on a landing page, you can use the Pega search API and Elasticsearch capabilities. Here are the steps you can follow:

1. Using Full-Text Search Based in Elasticsearch: Pega Platform provides full-text search capabilities using Elasticsearch. You can configure the search to index specific class types, such as your motor vehicle data class. This will allow you to search for specific vehicle types and retrieve relevant details. For example, you can search for 'car' or 'bike' and get the corresponding results.  
2. Configuring Search Gadgets: You can add a search gadget to your landing page that allows users to search for specific motor vehicle types. The search gadget can be configured to use a data page as the source for the search category, and you can customize how the search results are displayed. This ensures that the search results are relevant and categorized correctly.
3. Dynamic and Configurable Search Screens: Pega also offers dynamic and configurable search screens that can be tailored to your specific needs. This feature allows you to define the classes that require search screens and select properties that will be available on the search screens. This can significantly reduce the time and effort spent in developing and maintaining the search functionality.

By leveraging these capabilities, you can efficiently implement a search functionality that retrieves specific information about motor vehicles from different categories on your landing page.

⚠ This is a GenAI-powered tool. All generated answers require validation against the provided references.

Using full-text search based in Elasticsearch

Search for work faster in your mobile app with improved filtering by Case Type

Dynamic and configurable search screens