diff --git a/vectordb_bench/backend/clients/pinecone/pinecone.py b/vectordb_bench/backend/clients/pinecone/pinecone.py
index c61d23dc..d87942e5 100644
--- a/vectordb_bench/backend/clients/pinecone/pinecone.py
+++ b/vectordb_bench/backend/clients/pinecone/pinecone.py
@@ -2,16 +2,12 @@
 
 import logging
 from contextlib import contextmanager
-from typing import Type
-import pinecone
-from vectordb_bench.backend.filter import Filter, FilterType
-from ..api import VectorDB, DBConfig, DBCaseConfig, EmptyDBCaseConfig, IndexType
-from .config import PineconeConfig
 
 import pinecone
 
-from ..api import DBCaseConfig, DBConfig, EmptyDBCaseConfig, IndexType, VectorDB
-from .config import PineconeConfig
+from vectordb_bench.backend.filter import Filter, FilterType
+
+from ..api import DBCaseConfig, VectorDB
 
 log = logging.getLogger(__name__)
 
@@ -25,6 +21,7 @@ class Pinecone(VectorDB):
         FilterType.Int,
         FilterType.Label,
     ]
+
     def __init__(
         self,
         dim: int,
@@ -55,17 +52,9 @@ def __init__(
                 log.info(f"Pinecone index delete namespace: {namespace}")
                 index.delete(delete_all=True, namespace=namespace)
 
-        self._metadata_key = "meta"
+        self._scalar_id_field = "meta"
         self._scalar_label_field = "label"
 
-    @classmethod
-    def config_cls(cls) -> type[DBConfig]:
-        return PineconeConfig
-
-    @classmethod
-    def case_config_cls(cls, index_type: IndexType | None = None) -> type[DBCaseConfig]:
-        return EmptyDBCaseConfig
-
     @contextmanager
     def init(self):
         pc = pinecone.Pinecone(api_key=self.api_key)
@@ -79,9 +68,9 @@ def insert_embeddings(
         self,
         embeddings: list[list[float]],
         metadata: list[int],
-        labels_data: list[str] = None,
+        labels_data: list[str] | None = None,
         **kwargs,
-    ) -> (int, Exception):
+    ) -> tuple[int, Exception]:
         assert len(embeddings) == len(metadata)
         insert_count = 0
         try:
@@ -89,7 +78,7 @@ def insert_embeddings(
                 batch_end_offset = min(batch_start_offset + self.batch_size, len(embeddings))
                 insert_datas = []
                 for i in range(batch_start_offset, batch_end_offset):
-                    metadata_dict = {self._metadata_key: metadata[i]}
+                    metadata_dict = {self._scalar_id_field: metadata[i]}
                     if self.with_scalar_labels:
                         metadata_dict[self._scalar_label_field] = labels_data[i]
                     insert_data = (
@@ -101,8 +90,8 @@ def insert_embeddings(
                 self.index.upsert(insert_datas)
                 insert_count += batch_end_offset - batch_start_offset
         except Exception as e:
-            return (insert_count, e)
-        return (len(embeddings), None)
+            return insert_count, e
+        return len(embeddings), None
 
     def search_embedding(
         self,
@@ -111,24 +100,22 @@ def search_embedding(
         timeout: int | None = None,
     ) -> list[int]:
         pinecone_filters = self.expr
-        try:
-            res = self.index.query(
-                top_k=k,
-                vector=query,
-                filter=pinecone_filters,
-            )["matches"]
-        except Exception as e:
-            print(f"Error querying index: {e}")
-            raise e
-        id_res = [int(one_res["id"]) for one_res in res]
-        return id_res
-
-    def prepare_filter(self, filter: Filter):
-        if filter.type == FilterType.NonFilter:
+        res = self.index.query(
+            top_k=k,
+            vector=query,
+            filter=pinecone_filters,
+        )["matches"]
+        return [int(one_res["id"]) for one_res in res]
+
+    def prepare_filter(self, filters: Filter):
+        if filters.type == FilterType.NonFilter:
             self.expr = None
-        elif filter.type == FilterType.Int:
-            self.expr = {self._scalar_id_field: {"$gte": filter.int_value}}
-        elif filter.type == FilterType.Label:
-            self.expr = {self._scalar_label_field : {"$eq": filter.label_value}}
+        elif filters.type == FilterType.Int:
+            self.expr = {self._scalar_id_field: {"$gte": filters.int_value}}
+        elif filters.type == FilterType.Label:
+            # both "in" and "==" are supported
+            self.expr = {self._scalar_label_field: {"$eq": filters.label_value}}
+            # self.expr = {self._scalar_label_field: {"$in": [filters.label_value]}}
         else:
-            raise ValueError(f"Not support Filter for Pinecone - {filter}")
+            msg = f"Not support Filter for Pinecone - {filters}"
+            raise ValueError(msg)