added windows + linux faiss compatibility

core/tools/dbops.py

@@ -5,14 +5,32 @@
 
 
 def create_db_if_not_exists(db_name: str, embeddings: Embeddings):
-    if not exists('store/vector/' + db_name + '.faiss'):
-        print("Creating new database:", db_name + '.faiss')
-        tmp_db = FAISS.from_texts(['You are a large language model, intended for research purposes.'], embeddings)
-        tmp_db.save_local(folder_path='store/vector', index_name=db_name)
+    if not exists("store/vector/" + db_name + ".faiss"):
+        print("Creating new database:", db_name + ".faiss")
+        tmp_db = FAISS.from_texts(
+            ["You are a large language model, intended for research purposes."],
+            embeddings,
+        )
+        tmp_db.save_local(folder_path="store/vector", index_name=db_name)
     else:
-        print("Already exists:", db_name + '.faiss')
+        print("Already exists:", db_name + ".faiss")
 
 
 def get_db_by_name(db_name: str, embeddings: Embeddings) -> FAISS:
     create_db_if_not_exists(db_name, embeddings)
-    return FAISS.load_local(folder_path='store/vector', embeddings=embeddings, index_name=db_name, allow_dangerous_deserialization=True)
+
+    try:
+        # windows
+        db_connection = FAISS.load_local(
+            folder_path="store/vector",
+            embeddings=embeddings,
+            index_name=db_name,
+            allow_dangerous_deserialization=True,
+        )
+    except Exception:
+        # linux & mac
+        db_connection = FAISS.load_local(
+            folder_path="store/vector", embeddings=embeddings, index_name=db_name
+        )
+
+    return db_connection