diff --git a/src/khoj/processor/embeddings.py b/src/khoj/processor/embeddings.py
index 15d03f7f..71af5b7d 100644
--- a/src/khoj/processor/embeddings.py
+++ b/src/khoj/processor/embeddings.py
@@ -13,7 +13,7 @@ from tenacity import (
 )
 from torch import nn
 
-from khoj.utils.helpers import get_device, merge_dicts
+from khoj.utils.helpers import get_device, merge_dicts, timer
 from khoj.utils.rawconfig import SearchResponse
 
 logger = logging.getLogger(__name__)
@@ -37,7 +37,8 @@ class EmbeddingsModel:
         self.model_name = model_name
         self.inference_endpoint = embeddings_inference_endpoint
         self.api_key = embeddings_inference_endpoint_api_key
-        self.embeddings_model = SentenceTransformer(self.model_name, **self.model_kwargs)
+        with timer(f"Loaded embedding model {self.model_name}", logger):
+            self.embeddings_model = SentenceTransformer(self.model_name, **self.model_kwargs)
 
     def inference_server_enabled(self) -> bool:
         return self.api_key is not None and self.inference_endpoint is not None
@@ -101,7 +102,8 @@ class CrossEncoderModel:
         self.inference_endpoint = cross_encoder_inference_endpoint
         self.api_key = cross_encoder_inference_endpoint_api_key
         self.model_kwargs = merge_dicts(model_kwargs, {"device": get_device()})
-        self.cross_encoder_model = CrossEncoder(model_name=self.model_name, **self.model_kwargs)
+        with timer(f"Loaded cross-encoder model {self.model_name}", logger):
+            self.cross_encoder_model = CrossEncoder(model_name=self.model_name, **self.model_kwargs)
 
     def inference_server_enabled(self) -> bool:
         return self.api_key is not None and self.inference_endpoint is not None