diff --git a/main.py b/main.py
index fc255981..ca32d3a2 100644
--- a/main.py
+++ b/main.py
@@ -1,6 +1,6 @@
 from typing import Optional
 from fastapi import FastAPI
-from search_types import asymmetric
+from search_type import asymmetric
 import argparse
 import pathlib
 import uvicorn
diff --git a/search_types/__init__.py b/search_type/__init__.py
similarity index 100%
rename from search_types/__init__.py
rename to search_type/__init__.py
diff --git a/search_types/asymmetric.py b/search_type/asymmetric.py
similarity index 98%
rename from search_types/asymmetric.py
rename to search_type/asymmetric.py
index 8ef1d75a..ddcd526e 100644
--- a/search_types/asymmetric.py
+++ b/search_type/asymmetric.py
@@ -40,10 +40,10 @@ def extract_entries(notesfile, verbose=False):
     return entries
 
 
-def compute_embeddings(entries, bi_encoder, embeddings_file, verbose=False):
+def compute_embeddings(entries, bi_encoder, embeddings_file, regenerate=False, verbose=False):
     "Compute (and Save) Embeddings or Load Pre-Computed Embeddings"
     # Load pre-computed embeddings from file if exists
-    if embeddings_file.exists():
+    if embeddings_file.exists() and not regenerate:
         corpus_embeddings = torch.load(get_absolute_path(embeddings_file))
         if verbose:
             print(f"Loaded embeddings from {embeddings_file}")
diff --git a/search_types/image-search.py b/search_type/image-search.py
similarity index 100%
rename from search_types/image-search.py
rename to search_type/image-search.py
diff --git a/search_types/symmetric.py b/search_type/symmetric.py
similarity index 100%
rename from search_types/symmetric.py
rename to search_type/symmetric.py