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Neova has expertise in building search solutions for various applications. Once a website's data content increases, accessibility, navigation options, and ability to locate content become paramount.
Neova provides scalable and robust solutions, using open source enterprise search engine tools, such as Solr (Lucene Java Engine), Sphinx (full text search engine), Ferret (full text search engine) etc.
Creation of searchable indexes and writing/invoking of appropriate APIs make site search faster and more user-friendly.
Neova also integrates and deploys these tools into various applications, using PHP, Java, and Ruby on Rails frameworks.
The Client was using Solr, an open source Lucene search engine, and needed to enhance search capabilities. Search needed to be quicker and more contextual and powerful.
Upon evaluation, the Neova team recommended the client upgrade their existing Solr engine to an improved and more recent version. Enhancements, including contextual search, were added via multiple filters and query parsing (DisMaxQueryParser).
Proper boosting was provided as necessary, to arrive at accurate search results.
Issues such as privacy, case sensitivity, filtering, and sorting were implemented as part of the queries. These queries were generated using Ruby on Rails (RoR). Managing the index size was also resolved by removing unwanted fields from the indexes and by reducing the number of facets in use. .