diff --git a/k8sgpt-operator/install.sh b/k8sgpt-operator/install.sh
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+#!/bin/bash
+
+helm repo add k8sgpt https://charts.k8sgpt.ai/
+helm repo update k8sgpt
+helm install k8sgpt-operator k8sgpt/k8sgpt-operator -n k8sgpt-operator-system --create-namespace --version 0.1.4
diff --git a/k8sgpt-operator/logo.png b/k8sgpt-operator/logo.png
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diff --git a/k8sgpt-operator/manifest.yaml b/k8sgpt-operator/manifest.yaml
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+---
+name: k8sgpt-operator
+version: v0.1.4
+maintainer: "@milindchawre"
+description: This k8sgpt-operator is designed to enable K8sGPT within a Kubernetes cluster.
+url: https://github.com/k8sgpt-ai/k8sgpt-operator
+category: monitoring
diff --git a/k8sgpt-operator/post_install.md b/k8sgpt-operator/post_install.md
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+## Using k8sgpt-operator
+
+Follow these [post-installation steps](https://github.com/k8sgpt-ai/k8sgpt-operator/tree/v0.1.4?tab=readme-ov-file#run-the-example), where you create k8s-secret to store credentials of your LLM AI backends (it supports multiple backends like OpenAI, AzureOpenAI, Amazon Bedrock, etc). Later you need to create a custom resource to apply K8sGPT configuration.
diff --git a/k8sgpt-operator/uninstall.sh b/k8sgpt-operator/uninstall.sh
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+#!/bin/bash
+
+NS=k8sgpt-operator-system
+
+kubectl config set-context --current --namespace=$NS
+
+# Uninstall chart
+helm uninstall k8sgpt-operator
+
+# Delete the namespace
+kubectl delete namespace $NS