update docs

Author: dhananjay-mk

python/hsfs/core/schema_validation.py

@@ -66,7 +66,7 @@ def validate_schema(self, feature_group, df, df_features):
         # Handle errors
         if is_pk_null or (is_string_length_exceeded and feature_group.id):
             raise ValueError(
-                f"One or more schema validation errors found for online ingestion. Data cannot be inserted. Error details ('column_name':'error description'): {errors}"
+                f"One or more schema validation errors found for online ingestion. For details about the validation, refer to the documentation(https://docs.hopsworks.ai/latest/user_guides/fs/feature_group/data_types/#string-online-data-types). Error details ('column_name':'error description'): {errors}"
             )
         elif is_string_length_exceeded:
             # If the feature group is not created and string lengths exceed default, adjust the string columns

python/hsfs/feature_group.py

@@ -4087,7 +4087,7 @@ def insert(
                   listeners of the Hopsworks Kafka Cluster. Defaults to `False` and
                   will use external listeners when connecting from outside of Hopsworks.
             validation_options: Additional validation options as key-value pairs, defaults to `{}`.
-                * key `run_validation` boolean value, set to `False` to skip validation temporarily on ingestion.
+                * key `run_validation` boolean value, set to `False` to skip validation temporarily on ingestion. Also applicable for pre-insert schema validations.
                 * key `save_report` boolean value, set to `False` to skip upload of the validation report to Hopsworks.
                 * key `ge_validate_kwargs` a dictionary containing kwargs for the validate method of Great Expectations.
                 * key `fetch_expectation_suite` a boolean value, by default `True`, to control whether the expectation