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Code Issues Releases Activity

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
- Lower the job concurrency for these jobs to 1.
- Under Settings > Transcoding Settings > Threads, set the number of threads to a low number like 1 or 2.
- 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.
- 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.
- You _must_ re-run the Recognize Faces job for all images after this for facial recognition on new images to work properly.
- If these changes are not enough, see [below](/docs/FAQ.md#how-can-i-disable-machine-learning) for how you can disable machine learning.
@ -45,14 +44,6 @@ Machine learning can be disabled under Settings > Machine Learning Settings, eit
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.
### How can I disable TypeSense?
:::info
Disabling Typesense will result in a poor search experience since searching is reliant on it.
:::
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.
### I'm getting errors about models being corrupt or failing to download. What do I do?
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.