diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 1d2030035dd..5d6c0933f1f 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -113,15 +113,15 @@ mvn -pl dist -PnoSnapshots package -DskipTests
 Verify that shim-specific classes are hidden from a conventional classloader.
 
 ```bash
-$ javap -cp dist/target/rapids-4-spark_2.12-23.08.0-SNAPSHOT-cuda11.jar com.nvidia.spark.rapids.shims.SparkShimImpl
+$ javap -cp dist/target/rapids-4-spark_2.12-23.08.1-SNAPSHOT-cuda11.jar com.nvidia.spark.rapids.shims.SparkShimImpl
 Error: class not found: com.nvidia.spark.rapids.shims.SparkShimImpl
 ```
 
 However, its bytecode can be loaded if prefixed with `spark3XY` not contained in the package name
 
 ```bash
-$ javap -cp dist/target/rapids-4-spark_2.12-23.08.0-SNAPSHOT-cuda11.jar spark320.com.nvidia.spark.rapids.shims.SparkShimImpl | head -2
-Warning: File dist/target/rapids-4-spark_2.12-23.08.0-SNAPSHOT-cuda11.jar(/spark320/com/nvidia/spark/rapids/shims/SparkShimImpl.class) does not contain class spark320.com.nvidia.spark.rapids.shims.SparkShimImpl
+$ javap -cp dist/target/rapids-4-spark_2.12-23.08.1-SNAPSHOT-cuda11.jar spark320.com.nvidia.spark.rapids.shims.SparkShimImpl | head -2
+Warning: File dist/target/rapids-4-spark_2.12-23.08.1-SNAPSHOT-cuda11.jar(/spark320/com/nvidia/spark/rapids/shims/SparkShimImpl.class) does not contain class spark320.com.nvidia.spark.rapids.shims.SparkShimImpl
 Compiled from "SparkShims.scala"
 public final class com.nvidia.spark.rapids.shims.SparkShimImpl {
 ```
@@ -163,7 +163,7 @@ mvn package -pl dist -am -Dbuildver=340 -DallowConventionalDistJar=true
 Verify `com.nvidia.spark.rapids.shims.SparkShimImpl` is conventionally loadable:
 
 ```bash
-$ javap -cp dist/target/rapids-4-spark_2.12-23.08.0-SNAPSHOT-cuda11.jar com.nvidia.spark.rapids.shims.SparkShimImpl | head -2
+$ javap -cp dist/target/rapids-4-spark_2.12-23.08.1-SNAPSHOT-cuda11.jar com.nvidia.spark.rapids.shims.SparkShimImpl | head -2
 Compiled from "SparkShims.scala"
 public final class com.nvidia.spark.rapids.shims.SparkShimImpl {
 ```
diff --git a/docs/get-started/getting-started-databricks.md b/docs/get-started/getting-started-databricks.md
index b1cdf24f29a..b54f6ffd458 100644
--- a/docs/get-started/getting-started-databricks.md
+++ b/docs/get-started/getting-started-databricks.md
@@ -115,7 +115,7 @@ cluster meets the prerequisites above by configuring it as follows:
     ```bash
     spark.rapids.sql.python.gpu.enabled true
     spark.python.daemon.module rapids.daemon_databricks
-    spark.executorEnv.PYTHONPATH /databricks/jars/rapids-4-spark_2.12-23.08.0.jar:/databricks/spark/python
+    spark.executorEnv.PYTHONPATH /databricks/jars/rapids-4-spark_2.12-23.08.1.jar:/databricks/spark/python
     ```
    Note that since python memory pool require installing the cudf library, so you need to install cudf library in 
    each worker nodes `pip install cudf-cu11 --extra-index-url=https://pypi.nvidia.com` or disable python memory pool