From 8057c375baba51552f127732f90c6bf55503f67b Mon Sep 17 00:00:00 2001
From: Mert <101130780+mertalev@users.noreply.github.com>
Date: Sat, 9 Dec 2023 22:23:40 -0500
Subject: [PATCH] docs: remove typesense from faq (#5600)

---
 docs/docs/FAQ.md | 9 ---------
 1 file changed, 9 deletions(-)

diff --git a/docs/docs/FAQ.md b/docs/docs/FAQ.md
index 50ee2c1121a..13d3276b2e7 100644
--- a/docs/docs/FAQ.md
+++ b/docs/docs/FAQ.md
@@ -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.