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fix(server): Fix delay with multiple ml servers (#16284)
* Prospective fix for ensuring that known active ML servers are used to reduce search delay. * Added some logging and renamed backoff const. * Fix lint issues. * Update to use env vars for timeouts and updated documentation and strings. * Fix docs. * Make counter logic clearer. * Minor readability improvements. * Extract skipUrl logic per feedback, and change log to verbose. * Make code harder to read.
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@@ -98,6 +98,14 @@ The default Immich log level is `Log` (commonly known as `Info`). The Immich adm
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Through this setting, you can manage all the settings related to machine learning in Immich, from the setting of remote machine learning to the model and its parameters
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You can choose to disable a certain type of machine learning, for example smart search or facial recognition.
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### URL
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The built in (`http://immich-machine-learning:3003`) machine learning server will be configured by default, but you can change this or add additional servers.
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Hosting the `immich-machine-learning` container on a machine with a more powerful GPU can be helpful to for processing a large number of photos (such as during batch import) or for faster search.
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If more than one URL is provided, each server will be attempted one-at-a-time until one responds successfully, in order from first to last. Servers that don't respond will be temporarily ignored until they come back online.
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### Smart Search
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The [smart search](/docs/features/searching) settings allow you to change the [CLIP model](https://openai.com/research/clip). Larger models will typically provide [more accurate search results](https://github.com/immich-app/immich/discussions/11862) but consume more processing power and RAM. When [changing the CLIP model](/docs/FAQ#can-i-use-a-custom-clip-model) it is mandatory to re-run the Smart Search job on all images to fully apply the change.
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