Add optional ids filter to vector database query methods

- Updated query method signatures across multiple vector database implementations
- Added optional `ids` parameter to filter search results
- Consistent implementation across ChromaDB, Faiss, Milvus, MongoDB, NanoVectorDB, Oracle, Qdrant, and TiDB vector storage classes

lightrag/kg/tidb_impl.py

@@ -306,7 +306,9 @@ class TiDBVectorDBStorage(BaseVectorStorage):
             await ClientManager.release_client(self.db)
             self.db = None
 
-    async def query(self, query: str, top_k: int) -> list[dict[str, Any]]:
+    async def query(
+        self, query: str, top_k: int, ids: list[str] | None = None
+    ) -> list[dict[str, Any]]:
         """Search from tidb vector"""
         embeddings = await self.embedding_func([query])
         embedding = embeddings[0]