diff --git a/docs/docs/configuration/semantic_search.md b/docs/docs/configuration/semantic_search.md
index ab3937c53..bd3d79cae 100644
--- a/docs/docs/configuration/semantic_search.md
+++ b/docs/docs/configuration/semantic_search.md
@@ -1,6 +1,6 @@
 ---
 id: semantic_search
-title: Using Semantic Search
+title: Semantic Search
 ---
 
 Semantic Search in Frigate allows you to find tracked objects within your review items using either the image itself, a user-defined text description, or an automatically generated one. This feature works by creating _embeddings_ — numerical vector representations — for both the images and text descriptions of your tracked objects. By comparing these embeddings, Frigate assesses their similarities to deliver relevant search results.
diff --git a/docs/sidebars.ts b/docs/sidebars.ts
index b0b8cdf48..ebd6af033 100644
--- a/docs/sidebars.ts
+++ b/docs/sidebars.ts
@@ -33,7 +33,7 @@ const sidebars: SidebarsConfig = {
         'configuration/object_detectors',
         'configuration/audio_detectors',
       ],
-      'Semantic Search': [
+      Classifiers: [
         'configuration/semantic_search',
         'configuration/genai',
         'configuration/face_recognition',