[Feature] Pinecone Vector DB support (#723)

embedchain/vectordb/elasticsearch.py

@@ -1,5 +1,5 @@
 import logging
-from typing import Any, Dict, List, Optional, Set
+from typing import Any, Dict, List, Optional
 
 try:
     from elasticsearch import Elasticsearch
@@ -74,9 +74,7 @@ class ElasticsearchDB(BaseVectorDB):
     def _get_or_create_collection(self, name):
         """Note: nothing to return here. Discuss later"""
 
-    def get(
-        self, ids: Optional[List[str]] = None, where: Optional[Dict[str, any]] = None, limit: Optional[int] = None
-    ) -> Set[str]:
+    def get(self, ids: Optional[List[str]] = None, where: Optional[Dict[str, any]] = None, limit: Optional[int] = None):
         """
         Get existing doc ids present in vector database