Update src/rag_engine.py

src/rag_engine.py

@@ -47,15 +47,27 @@ def get_embedding_func(model_name: str = "sentence-transformers/all-MiniLM-L6-v2
                  allow_patterns=f"{folder_name}/*"
              )
              local_model_path = os.path.join(storage_path, folder_name)
-             return HuggingFaceEmbeddings(model_name=local_model_path)
+             
+             # FIX: Explicitly set device to CPU to avoid meta-tensor errors
+             return HuggingFaceEmbeddings(
+                 model_name=local_model_path,
+                 model_kwargs={'device': 'cpu'}
+             )
              
         # CHECK 3: Standard Public Models
         else:
-            return HuggingFaceEmbeddings(model_name=model_name)
+            # FIX: Explicitly set device to CPU here as well
+            return HuggingFaceEmbeddings(
+                model_name=model_name,
+                model_kwargs={'device': 'cpu'}
+            )
             
     except Exception as e:
         logger.error(f"Failed to load embedding model '{model_name}': {e}")
-        return HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2")
+        return HuggingFaceEmbeddings(
+            model_name="sentence-transformers/all-MiniLM-L6-v2",
+            model_kwargs={'device': 'cpu'}
+        )
 
 def save_uploaded_file(uploaded_file, username: str) -> str:
     user_dir = os.path.join(UPLOAD_DIR, username)