diff --git a/src/zep_cloud/external_clients/memory.py b/src/zep_cloud/external_clients/memory.py
index f394117..167fcda 100644
--- a/src/zep_cloud/external_clients/memory.py
+++ b/src/zep_cloud/external_clients/memory.py
@@ -24,6 +24,47 @@ def extract(
         last_n: int = 4,
         validate: bool = False,
     ):
+        """Extracts structured data from a session based on a ZepModel schema.
+        This method retrieves data based on a given model and session details.
+        It then returns the extracted and validated data as an instance of the given ZepModel.
+
+        Parameters
+        ----------
+        session_id: str
+            Session ID.
+        model: ZepModel
+            An instance of a ZepModel subclass defining the expected data structure and field types.
+        current_date_time: typing.Optional[datetime.datetime]
+            Your current date and time in ISO 8601 format including timezone.
+            This is used for determining relative dates.
+        last_n: typing.Optional[int]
+            The number of messages in the chat history from which to extract data.
+        validate: typing.Optional[bool]
+            Validate that the extracted data is present in the dialog and correct per the field description.
+            Mitigates hallucination, but is slower and may result in false negatives.
+
+        Returns
+        -------
+        ZepModel: An instance of the provided ZepModel subclass populated with the
+            extracted and validated data.
+
+        Examples
+        --------
+        class CustomerInfo(ZepModel):
+            name: Optional[ZepText] = Field(description="Customer name", default=None)
+            email: Optional[ZepEmail] = Field(description="Customer email", default=None)
+            signup_date: Optional[ZepDate] = Field(description="Customer Sign up date", default=None)
+
+        client = AsyncMemoryClient(...)
+
+        customer_data = await client.memory.extract(
+            session_id="session123",
+            model=CustomerInfo(),
+            current_date_time=datetime.datetime.now(),  # Filter data up to now
+        )
+
+        print(customer_data.name)  # Access extracted and validated customer name
+        """
         model_schema = json.dumps(model.model_json_schema())
 
         result = self.extract_data(
@@ -51,6 +92,47 @@ async def extract(
         last_n: int = 4,
         validate: bool = False,
     ):
+        """Extracts structured data from a session based on a ZepModel schema.
+       This method retrieves data based on a given model and session details.
+       It then returns the extracted and validated data as an instance of the given ZepModel.
+
+       Parameters
+       ----------
+       session_id: str
+           Session ID.
+       model: ZepModel
+           An instance of a ZepModel subclass defining the expected data structure and field types.
+       current_date_time: typing.Optional[datetime.datetime]
+           Your current date and time in ISO 8601 format including timezone.
+           This is used for determining relative dates.
+       last_n: typing.Optional[int]
+           The number of messages in the chat history from which to extract data.
+       validate: typing.Optional[bool]
+           Validate that the extracted data is present in the dialog and correct per the field description.
+           Mitigates hallucination, but is slower and may result in false negatives.
+
+       Returns
+       -------
+       ZepModel: An instance of the provided ZepModel subclass populated with the
+           extracted and validated data.
+
+       Examples
+       --------
+       class CustomerInfo(ZepModel):
+           name: Optional[ZepText] = Field(description="Customer name", default=None)
+           name: Optional[ZepEmail] = Field(description="Customer email", default=None)
+           signup_date: Optional[ZepDate] = Field(description="Customer Sign up date", default=None)
+
+       client = AsyncMemoryClient(...)
+
+       customer_data = await client.memory.extract(
+           session_id="session123",
+           model=CustomerInfo(),
+           current_date_time=datetime.datetime.now(),  # Filter data up to now
+       )
+
+       print(customer_data.name)  # Access extracted and validated customer name
+       """
         model_schema = json.dumps(model.model_json_schema())
 
         result = await self.extract_data(