fixed type

README.md

@@ -361,7 +361,7 @@ class QueryParam:
     - "hybrid": Combines local and global retrieval methods.
     - "naive": Performs a basic search without advanced techniques.
     - "mix": Integrates knowledge graph and vector retrieval.
-    """    
+    """
     only_need_context: bool = False
     """If True, only returns the retrieved context without generating a response."""
     response_type: str = "Multiple Paragraphs"

lightrag/base.py

@@ -62,13 +62,13 @@ class QueryParam:
     max_token_for_local_context: int = 4000
     """Maximum number of tokens allocated for entity descriptions in local retrieval."""
 
-    hl_keywords: List[str] = field(default_factory=list)
+    hl_keywords: list[str] = field(default_factory=list)
     """List of high-level keywords to prioritize in retrieval."""
 
-    ll_keywords: List[str] = field(default_factory=list)
+    ll_keywords: list[str] = field(default_factory=list)
     """List of low-level keywords to refine retrieval focus."""
 
-    conversation_history: List[dict[str, Any]] = field(default_factory=list)
+    conversation_history: list[dict[str, Any]] = field(default_factory=list)
     """Stores past conversation history to maintain context.
     Format: [{"role": "user/assistant", "content": "message"}].
     """
@@ -76,6 +76,7 @@ class QueryParam:
     history_turns: int = 3
     """Number of complete conversation turns (user-assistant pairs) to consider in the response context."""
 
+
 @dataclass
 class StorageNameSpace:
     namespace: str