diff --git a/docs/geneva/index.mdx b/docs/geneva/index.mdx
index 3e296b1..88d5659 100644
--- a/docs/geneva/index.mdx
+++ b/docs/geneva/index.mdx
@@ -37,6 +37,9 @@ as columns in a Lance dataset. Adding a feature is straightforward:
   Register the UDF as a virtual column using `Table.add_columns()`.
   </Step>
   <Step>
+  (Optional) Configure where the UDF will run: locally, on a Ray cluster, or on a Kubernetes cluster with KubeRay (see [Contexts](/geneva/jobs/contexts)).
+  </Step>
+  <Step>
   Trigger a `backfill` operation (see [Backfilling](/geneva/jobs/backfilling/)).
   </Step>
 </Steps>
@@ -52,4 +55,4 @@ Visit the following pages to learn more about featuring engineering in LanceDB E
 - **Overview**: [What is Feature Engineering?](/geneva/overview/)
 - **UDFs**: [Using UDFs](/geneva/udfs/udfs) · [Blob helpers](/geneva/udfs/blobs/) · [Error handling](/geneva/udfs/error_handling) · [Advanced configuration](/geneva/udfs/advanced-configuration) 
 - **Jobs**: [Backfilling](/geneva/jobs/backfilling/) · [Startup optimizations](/geneva/jobs/startup/) · [Materialized views](/geneva/jobs/materialized-views/) · [Execution contexts](/geneva/jobs/contexts/) · [Geneva console](/geneva/jobs/console) · [Performance](/geneva/jobs/performance/)
-- **Deployment**: [Deployment overview](/geneva/deployment/) · [Helm deployment](/geneva/deployment/helm/) · [Troubleshooting](/geneva/deployment/troubleshooting/)
\ No newline at end of file
+- **Deployment**: [Deployment overview](/geneva/deployment/) · [Helm deployment](/geneva/deployment/helm/) · [Troubleshooting](/geneva/deployment/troubleshooting/)
diff --git a/docs/geneva/jobs/contexts.mdx b/docs/geneva/jobs/contexts.mdx
index e9f8189..e680d3f 100644
--- a/docs/geneva/jobs/contexts.mdx
+++ b/docs/geneva/jobs/contexts.mdx
@@ -1,7 +1,7 @@
 ---
 title: Execution Contexts
 sidebarTitle: Contexts
-description: Learn how Geneva automatically packages and deploys your Python execution environment to worker nodes for distributed execution.
+description: Learn how to set up your cluster for distributed execution.
 icon: circle-nodes
 ---
 
@@ -9,9 +9,7 @@ icon: circle-nodes
 The APIs on this page require Geneva **v0.10.0** or later.
 </Note>
 
-Geneva automatically packages and deploys your Python execution environment to its worker nodes. This ensures that distributed execution occurs in the same environment and dependencies as your prototype.
-
-We currently support one processing backend: **Ray**. There are 3 ways to connect to a Ray cluster: 
+Geneva currently supports one processing backend: **Ray**. There are 3 ways to connect to a Ray cluster: 
 
 1. Local Ray
 2. KubeRay: create a cluster on demand in your Kubernetes cluster.