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docs/docs/features/smart-search.md

@@ -62,8 +62,9 @@ The first step of choosing the right model for you is to decide which languages
 If your users will only search in English, then the recommended [CLIP][huggingface-clip] section is the best place to look. This is a curated list of the models that generally perform the best for their size class. The models here are ordered from higher to lower quality. This means that the top models will generally rank the most relevant results higher and have a higher capacity to understand descriptive, detailed, and/or niche queries. They models are also generally ordered from larger to smaller, so consider the impact on memory usage, job processing and search speed when deciding on one. The smaller models in this list are not too different in quality and many times faster.
 
 [Multilingual models][huggingface-multilingual-clip] are also available so users can search in their native language. Use these models if you expect non-English searches to be common. They can be separated into two search patterns:
-* `nllb` models expect the search query to be in the language specified in the user settings
-* `xlm` models understand search text regardless of the current language setting
+
+- `nllb` models expect the search query to be in the language specified in the user settings
+- `xlm` models understand search text regardless of the current language setting
 
 `nllb` models perform the best and are recommended when users primarily searches in their native, non-English language. `xlm` models are more flexible and are recommended for mixed language search, where the same user might search in different languages at different times. A third option is if your users will search entirely in major Western European languages, such as English, Spanish, French and German. The `ViT-H-14-quickgelu__dfn5b` and `ViT-H-14-378-quickgelu__dfn5b` models perform the best for these languages and are similarly flexible as `xlm` models. They understand very few languages compared to the explicitly multilingual `nllb` and `xlm` models, so don't use them for anything else.
 
@@ -92,4 +93,4 @@ Feel free to make a feature request if there's a model you want to use that we d
 [huggingface-clip]: https://huggingface.co/collections/immich-app/clip-654eaefb077425890874cd07
 [huggingface-multilingual-clip]: https://huggingface.co/collections/immich-app/multilingual-clip-654eb08c2382f591eeb8c2a7
 [smart-search-settings]: https://my.immich.app/admin/system-settings?isOpen=machine-learning+smart-search
-[job-status-page]: https://my.immich.app/admin/jobs-status
+[job-status-page]: https://my.immich.app/admin/jobs-status