How to add support for more languages in your Elastic Enterprise Search engines

Elastic Enterprise Search enables users to create App Search engines for indexing documents with adaptable search capabilities, but its default language support can be limited. To include additional languages, users can establish an App Search engine with custom analyzers tailored to the preferred language. This process involves creating an Elasticsearch index with specific analyzers and mappings, updating the index to use these analyzers, and reindexing documents to ensure accurate language processing. For example, the blog post outlines how to add Romanian language support by incorporating language-specific stem and stopword filters. This customization ensures that search queries recognize linguistic nuances, such as plural forms, enhancing search accuracy and feature availability like Precision Tuning. The methodology discussed can be applied to support any language that Elasticsearch's analyzers accommodate, providing a robust framework for multilingual search optimization.