Refactor vector query methods to support optional ID filtering

- Updated BaseVectorStorage query method signature to accept optional IDs
- Modified operate.py to pass query parameter IDs to vector storage queries
- Updated PostgreSQL vector storage SQL templates to filter results by document IDs
- Removed unused parameters and simplified query logic across multiple files

lightrag/base.py

@@ -108,9 +108,8 @@ class BaseVectorStorage(StorageNameSpace, ABC):
     embedding_func: EmbeddingFunc
     cosine_better_than_threshold: float = field(default=0.2)
     meta_fields: set[str] = field(default_factory=set)
-
     @abstractmethod
-    async def query(self, query: str, top_k: int, ids: list[str] = None) -> list[dict[str, Any]]:
+    async def query(self, query: str, top_k: int, ids: list[str] | None = None) -> list[dict[str, Any]]:
         """Query the vector storage and retrieve top_k results."""
 
     @abstractmethod