diff --git a/content/en/docs/components/pipelines/user-guides/core-functions/caching.md b/content/en/docs/components/pipelines/user-guides/core-functions/caching.md
index 6d83867416..1a7ac4b396 100644
--- a/content/en/docs/components/pipelines/user-guides/core-functions/caching.md
+++ b/content/en/docs/components/pipelines/user-guides/core-functions/caching.md
@@ -57,3 +57,44 @@ client.create_run_from_pipeline_func(
     enable_caching=True,  # overrides the above disabling of caching
 )
 ```
+
+The `--disable-execution-caching-by-default` flag disables caching for all pipeline tasks by default.
+
+Example:
+
+```
+kfp dsl compile --py my_pipeline.py --output my_pipeline.yaml --disable-execution-caching-by-default
+```
+
+You can also set the default caching behavior using the `KFP_DISABLE_EXECUTION_CACHING_BY_DEFAULT` environment variable. When set to `true`, `1`, or other truthy values, it will disable execution caching by default for all pipelines. When set to `false` or when absent, the default of caching enabled remains.
+
+Example:
+
+```
+KFP_DISABLE_EXECUTION_CACHING_BY_DEFAULT=true \
+kfp dsl compile --py my_pipeline.py --output my_pipeline.yaml
+```
+This environment variable also works for `Compiler().compile()`.
+
+Given the following pipeline file:
+```
+@dsl.pipeline(name='my-pipeline')
+def my_pipeline():
+    task_1 = create_dataset()
+    task_2 = create_dataset()
+    task_1.set_caching_options(False)
+
+Compiler().compile(
+    pipeline_func=my_pipeline,
+    package_path='my_pipeline.yaml',
+
+)
+```
+Executing the following:
+```
+KFP_DISABLE_EXECUTION_CACHING_BY_DEFAULT=true \
+python my_pipeline.py
+```
+will result in `task_2` having caching disabled.
+
+**NOTE**: Since Python initializes configurations during the import process, setting the `KFP_DISABLE_EXECUTION_CACHING_BY_DEFAULT` environment variable after importing pipeline components will not affect the caching behavior. Therefore, always set it before importing any Kubeflow Pipelines components.
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