diff --git a/pyproject.toml b/pyproject.toml
index 7e6f5841..64daa0d5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -14,7 +14,7 @@ pinecone-client = "^2.2.2"
 python-dotenv = "^1.0.0"
 openai = "^0.27.5"
 tiktoken = "^0.3.3"
-pinecone-datasets = "^0.6.1"
+pinecone-datasets = "^0.6.2"
 pydantic = "^1.10.7"
 pinecone-text = { version = "^0.6.0", extras = ["openai"] }
 pandas-stubs = "^2.0.3.230814"
diff --git a/src/resin/knowledge_base/knowledge_base.py b/src/resin/knowledge_base/knowledge_base.py
index 91239c6a..13a2f76c 100644
--- a/src/resin/knowledge_base/knowledge_base.py
+++ b/src/resin/knowledge_base/knowledge_base.py
@@ -468,7 +468,8 @@ def _query_index(self,
     def upsert(self,
                documents: List[Document],
                namespace: str = "",
-               batch_size: int = 100):
+               batch_size: int = 100,
+               show_progress_bar: bool = False):
         """
         Upsert documents into the knowledge base.
         Upsert operation stands for "update or insert".
@@ -486,6 +487,8 @@ def upsert(self,
             namespace: The namespace in the underlying index to upsert documents into.
             batch_size: Refers only to the actual upsert operation to the underlying index.
                         The number of chunks (multiple piecies of text per document) to upsert in each batch.
+                        Defaults to 100.
+            show_progress_bar: Whether to show a progress bar while upserting the documents.
 
         Returns:
             None
@@ -551,7 +554,8 @@ def upsert(self,
         dataset.to_pinecone_index(self._index_name,
                                   namespace=namespace,
                                   should_create_index=False,
-                                  batch_size=batch_size)
+                                  batch_size=batch_size,
+                                  show_progress=show_progress_bar)
 
     def delete(self,
                document_ids: List[str],