diff --git a/frigate/config/semantic_search.py b/frigate/config/semantic_search.py
index 2891050a1..9ed06292a 100644
--- a/frigate/config/semantic_search.py
+++ b/frigate/config/semantic_search.py
@@ -4,7 +4,17 @@ from pydantic import Field
 
 from .base import FrigateBaseModel
 
-__all__ = ["SemanticSearchConfig"]
+__all__ = ["FaceRecognitionConfig", "SemanticSearchConfig"]
+
+
+class FaceRecognitionConfig(FrigateBaseModel):
+    enabled: bool = Field(default=False, title="Enable face recognition.")
+    reindex: Optional[bool] = Field(
+        default=False, title="Reindex all detections on startup."
+    )
+    model_size: str = Field(
+        default="small", title="The size of the embeddings model used."
+    )
 
 
 class SemanticSearchConfig(FrigateBaseModel):
@@ -12,6 +22,9 @@ class SemanticSearchConfig(FrigateBaseModel):
     reindex: Optional[bool] = Field(
         default=False, title="Reindex all detections on startup."
     )
+    face_recognition: FaceRecognitionConfig = Field(
+        default_factory=FaceRecognitionConfig, title="Face recognition config."
+    )
     model_size: str = Field(
         default="small", title="The size of the embeddings model used."
     )
diff --git a/frigate/db/sqlitevecq.py b/frigate/db/sqlitevecq.py
index ccb75ae54..cd63c1b7a 100644
--- a/frigate/db/sqlitevecq.py
+++ b/frigate/db/sqlitevecq.py
@@ -36,8 +36,11 @@ class SqliteVecQueueDatabase(SqliteQueueDatabase):
         self.execute_sql("""
             DROP TABLE vec_thumbnails;
         """)
+        self.execute_sql("""
+            DROP TABLE vec_faces;
+        """)
 
-    def create_embeddings_tables(self) -> None:
+    def create_embeddings_tables(self, face_recognition: bool) -> None:
         """Create vec0 virtual table for embeddings"""
         self.execute_sql("""
             CREATE VIRTUAL TABLE IF NOT EXISTS vec_thumbnails USING vec0(
@@ -51,3 +54,12 @@ class SqliteVecQueueDatabase(SqliteQueueDatabase):
                 description_embedding FLOAT[768] distance_metric=cosine
             );
         """)
+
+        if face_recognition:
+            self.execute_sql("""
+                CREATE VIRTUAL TABLE IF NOT EXISTS vec_faces USING vec0(
+                    id TEXT PRIMARY KEY,
+                    faceName TEXT,
+                    face_embedding FLOAT[768] distance_metric=cosine
+                );
+            """)
\ No newline at end of file
diff --git a/frigate/embeddings/embeddings.py b/frigate/embeddings/embeddings.py
index d77a9eecf..5586b4659 100644
--- a/frigate/embeddings/embeddings.py
+++ b/frigate/embeddings/embeddings.py
@@ -67,7 +67,7 @@ class Embeddings:
         self.requestor = InterProcessRequestor()
 
         # Create tables if they don't exist
-        self.db.create_embeddings_tables()
+        self.db.create_embeddings_tables(self.config.face_recognition.enabled)
 
         models = [
             "jinaai/jina-clip-v1-text_model_fp16.onnx",
@@ -220,7 +220,7 @@ class Embeddings:
 
         self.db.drop_embeddings_tables()
         logger.debug("Dropped embeddings tables.")
-        self.db.create_embeddings_tables()
+        self.db.create_embeddings_tables(self.config.face_recognition.enabled)
         logger.debug("Created embeddings tables.")
 
         # Delete the saved stats file