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Fix broken link in the RAG application readme. #664

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May 13, 2024
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Fix broken link in the RAG application readme. #664

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2 changes: 1 addition & 1 deletion applications/rag/README.md
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Expand Up @@ -62,7 +62,7 @@ This section sets up the RAG infrastructure in your GCP project using Terraform.
1. `cd ai-on-gke/applications/rag`

2. Edit `workloads.tfvars` to set your project ID, location, cluster name, and GCS bucket name. Ensure the `gcs_bucket` name is globally unique (add a random suffix). Optionally, make the following changes:
* (Recommended) [Enable authenticated access](#configure-authenticated-access-via-iap) for JupyterHub, frontend chat and Ray dashboard services.
* (Recommended) [Enable authenticated access](#configure-authenticated-access-via-iap-recommended) for JupyterHub, frontend chat and Ray dashboard services.
* (Optional) Set a custom `kubernetes_namespace` where all k8s resources will be created.
* (Optional) Set `autopilot_cluster = false` to deploy using GKE Standard.
* (Optional) Set `create_cluster = false` if you are bringing your own cluster. If using a GKE Standard cluster, ensure it has an L4 nodepool with autoscaling and node autoprovisioning enabled. You can simplify setup by following the Terraform instructions in [`infrastructure/README.md`](https://github.com/GoogleCloudPlatform/ai-on-gke/blob/main/infrastructure/README.md).
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