diff --git a/transforms/language/doc_quality/README.md b/transforms/language/doc_quality/README.md
index 5dc7b82b7..977ceb8b6 100644
--- a/transforms/language/doc_quality/README.md
+++ b/transforms/language/doc_quality/README.md
@@ -91,11 +91,6 @@ To see results of the transform.
 
 [notebook](./doc_quality.ipynb)
 
-### Transforming data using the transform image
-
-To use the transform image to transform your data, please refer to the 
-[running images quickstart](../../../doc/quick-start/run-transform-image.md),
-substituting the name of this transform image and runtime as appropriate.
 
 ## Testing
 
@@ -161,6 +156,10 @@ ls output
 ```
 To see results of the transform.
 
+### Code example (Ray)
+
+[notebook](./doc_quality-ray.ipynb)
+
 
 #### Transforming data using the transform image
 
diff --git a/transforms/universal/filter/README.md b/transforms/universal/filter/README.md
index 914127213..fbabfd661 100644
--- a/transforms/universal/filter/README.md
+++ b/transforms/universal/filter/README.md
@@ -276,6 +276,10 @@ In addition to those available to the transform as defined here,
 the set of 
 [ray launcher options](../../../data-processing-lib/doc/ray-launcher-options.md) are available.
 
+### Code example (Ray)
+
+[notebook](filter-ray.ipynb)
+
 # Filtering Transform for Spark
 
 You can run the Spark filter transform [local.py](dpk_filter/spark/local.py) to filter the `test1.parquet` file in [test input data](test-data/input) to an `output` directory.  The directory will contain one or several filtered parquet files and the `metadata.json` file.