Experience Next-Level
Search Relevance with Elasticsearch®
Unlock powerful search capabilities with advanced features designed to enhance user experience, improve performance, and deliver relevant results across your website.
ElasticProbe Features
Our search plugin offers advanced features like offloading, WooCommerce compatibility, faceted search and more to enhance your website’s search experience
Offloaded Search
Using our plugin, search queries are offloaded to a dedicated server — one of its key features that enhances website performance by utilizing external resources instead of overloading your server. This reduces server load, and provides a smoother user experience.
WooCommerce Compatibility
ElasticProbe makes filtering WooCommerce product results effortless and efficient. No matter the size or complexity of your product catalog, your customers can quickly find exactly what they’re looking for. With powerful query handling, you can provide a smooth, fast search experience, leading to higher customer satisfaction and increased conversions. Learn more about WooCommerce Search .
Faceted Search
ElasticProbe faceted search features enables users to filter and refine search results based on multiple attributes, such as categories, price, or ratings. This powerful feature improves the search experience by allowing customers to quickly narrow down results and find exactly what they’re looking for, even in large product catalogs. Learn more about Search Filter.
Autocompletion And Suggestions
Using real-time search with autocomplete suggestions, showing relevant results dynamically as users type, enhancing navigation and user experience.
Weighting And Custom Results
Weighting and search ordering involve adjusting the relevance of search results by assigning different importance (weights) to specific attributes, ensuring that results are ranked and displayed in a more meaningful order for users. Learn more about Weighting .
Fuzzy Search
Fuzzy search enhances search functionality by allowing users to find relevant results even when their queries contain typos, misspellings, or slight variations, using algorithms to match terms based on similarity rather than exact matches, thereby improving user experience and ensuring more accurate content discovery. Learn more about fuzzy search.
