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Chinese search support – 中文搜索​支持

Insiders adds experimental Chinese language support for the built-in search plugin – a feature that has been requested for a long time given the large number of Chinese users.

After the United States and Germany, the third-largest country of origin of Material for MkDocs users is China. For a long time, the built-in search plugin didn't allow for proper segmentation of Chinese characters, mainly due to missing support in lunr-languages which is used for search tokenization and stemming. The latest Insiders release adds long-awaited Chinese language support for the built-in search plugin, something that has been requested by many users.

The latest Insiders release brings three new simple ways to exclude dedicated parts of a document from the search index, allowing for more fine-grained control.

Two weeks ago, Material for MkDocs Insiders shipped a brand new search plugin, yielding massive improvements in usability, but also in speed and size of the search index. Interestingly, as discussed in the previous blog article, we only scratched the surface of what's now possible. This release brings some useful features that enhance the writing experience, allowing for more fine-grained control of what pages, sections and blocks of a Markdown file should be indexed by the built-in search functionality.

Search: better, faster, smaller

This is the story of how we managed to completely rebuild client-side search, delivering a significantly better user experience while making it faster and smaller at the same time.

The search of Material for MkDocs is by far one of its best and most-loved assets: multilingual, offline-capable, and most importantly: all client-side. It provides a solution to empower the users of your documentation to find what they're searching for instantly without the headache of managing additional servers. However, even though several iterations have been made, there's still some room for improvement, which is why we rebuilt the search plugin and integration from the ground up. This article shines some light on the internals of the new search, why it's much more powerful than the previous version, and what's about to come.