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docs: remove typesense from faq (#5600)
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@ -30,7 +30,6 @@ The initial backup is the most intensive due to the number of jobs running. The
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- Lower the job concurrency for these jobs to 1.
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- Under Settings > Transcoding Settings > Threads, set the number of threads to a low number like 1 or 2.
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- Set the `TYPESENSE_THREAD_POOL_SIZE` environmental variable and restart the Typesense container. For instance, `TYPESENSE_THREAD_POOL_SIZE=8` will limit it to 8 threads.
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- Under Settings > Machine Learning Settings > Facial Recognition > Model Name, you can change the facial recognition model to `buffalo_s` instead of `buffalo_l`. The former is a smaller and faster model, albeit not as good.
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- You _must_ re-run the Recognize Faces job for all images after this for facial recognition on new images to work properly.
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- If these changes are not enough, see [below](/docs/FAQ.md#how-can-i-disable-machine-learning) for how you can disable machine learning.
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@ -45,14 +44,6 @@ Machine learning can be disabled under Settings > Machine Learning Settings, eit
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However, disabling all jobs will not disable the machine learning service itself. To prevent it from starting up at all in this case, you can comment out the `immich-machine-learning` section of the docker-compose.yml.
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### How can I disable TypeSense?
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:::info
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Disabling Typesense will result in a poor search experience since searching is reliant on it.
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:::
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You can disable Typesense by commenting out the `immich-typesense` section of the docker-compose.yml and setting `TYPESENSE_ENABLED=false` in your .env file.
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### I'm getting errors about models being corrupt or failing to download. What do I do?
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You can delete the model cache volume, which is where models are downloaded. This will give the service a clean environment to download the model again.
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