Update qa_store.py

qa_store.py

@@ -22,11 +22,11 @@ NEXT_MANUAL_ID: int = 1
 
 # Embeddings for textbook entries (one vector per ENTRIES item)
 # Will be set to a torch.Tensor by _build_entry_embeddings() in model_utils.py
-TEXT_EMBEDDINGS = None
+TEXT_EMBEDDINGS = None # torch.Tensor
 
 # 👇 Add these for glossary
-GLOSSARY = []            # list of glossary items (dicts)
-GLOSSARY_EMBEDDINGS = None  # numpy array of embeddings, same size as GLOSSARY
+GLOSSARY: List[Dict[str, Any]] = []            # list of glossary items (dicts)
+GLOSSARY_EMBEDDINGS = None  # numpy.ndarray
 
 
 def normalize_question(q: str) -> str: