Helm Charts - IBM Content Cortex

Available Charts

Release Stream:

IBM Content Operator

v26.1.0 Namespace-scoped

Foundation for deploying IBM Content Cortex (CCx)—a comprehensive enterprise content management platform. Manages complete lifecycle of Content Platform Engine (CPE), Content Navigator (ICN), and integrated content services.

Chart Version:26.1.0

App Version:26.0.0

Architecture:amd64, ppc64le

Key Features

Content Platform Engine (CPE) for high-performance content storage
Content Navigator (ICN) for unified user experience
GraphQL and REST APIs for modern integration
Task Manager for workflow automation
Enterprise Records Management
Role-based redaction and access control

Common Configuration Values

crd:
  install: true
image:
  repository: cp.icr.io/cp/icp4a-content-operator
rbac:
  createClusterRole: true
  createClusterRoleBinding: true
  enabled: true

Watson Enhanced Extraction Service Operator

v26.1.0 Namespace-scoped New in 26.1.0

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Kubernetes operator for deploying and managing IBM Workflow and Document Understanding (WDU) Services—enabling intelligent document extraction, automated classification, and workflow orchestration for enterprise content.

Chart Version:26.1.0

App Version:26.0.0

Architecture:amd64

Key Features

Intelligent document understanding and field extraction
AI-powered document classification and routing
Automated workflow trigger based on document content
Deep integration with IBM Content Platform Engine
Secure credential management via Vault integration
Cloud-native operator pattern with namespace-scoped RBAC

Common Configuration Values

image:
  repository: icr.io/cpopen/ibm-ccx-wdu-operator
replicaCount: 1
serviceAccount:
  create: true
  name: ibm-ccxwdu-services-operator-sa
rbac:
  create: true

IBM Content Cortex AI Services Operator

v26.1.0 Namespace-scoped

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Deploys Core MCP server and Reasoning service with Navigator AI Agent. Enables intelligent content processing, agentic AI capabilities, and natural language interactions with enterprise content.

Chart Version:26.1.0

App Version:26.0.0

Architecture:amd64

Key Features

Core MCP (Model Context Protocol) server
Reasoning service for intelligent decision-making
Navigator AI Agent for agentic content interactions
Natural language document processing
Intelligent content classification and extraction
AI-generated summaries and insights
Secure credential management for AI providers

Common Configuration Values

crd:
  install: true
image:
  repository: cp.icr.io/cp/ibm-ccx-ai-services-operator
rbac:
  createClusterRole: true
  createClusterRoleBinding: true
  enabled: true

IBM Redis Operator

v1.4.0 Namespace-scoped New in 26.1.0

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Kubernetes operator for deploying and managing IBM Redis CP—a high-availability Redis cache layer for IBM Content Cortex and IBM Cloud Pak for Data workloads. Supports namespace-scoped deployment, credential secret management, persistent storage, and HAProxy configuration.

Chart Version:1.4.0

App Version:1.4.0

Architecture:amd64, ppc64le, s390x

Key Features

High-availability Redis cluster deployment
Namespace-scoped operator for multi-tenancy
HAProxy configuration for load balancing
Credential secret management
Persistent storage support
Cloud-native Kubernetes/OpenShift deployment

IBM PostgreSQL Operator

v28.4.1 Namespace-scoped New in 26.1.0

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Manages PostgreSQL clusters embedded in IBM products. Provides automated provisioning, lifecycle management, and backup/recovery for PostgreSQL instances used by IBM Content Cortex components.

Chart Version:28.4.1

App Version:28.4.1

Category:Database

Key Features

Automated PostgreSQL cluster provisioning
Lifecycle management and rolling upgrades
Backup and point-in-time recovery
High availability with failover support
Seamless integration with IBM product databases

IBM Watson Gateway Operator

v13.0.4 Namespace-scoped New in 26.1.0

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Kubernetes operator for deploying and managing IBM Model Gateway—providing a unified gateway layer for AI model access, routing, and lifecycle management within IBM Cloud Pak for Data and Content Cortex environments.

Chart Version:13.0.4

App Version:13.0.0

Architecture:amd64, s390x, ppc64le

Key Features

Unified AI model access gateway
Intelligent request routing and load balancing
Model lifecycle management
Cloud Pak for Data and Content Cortex integration
Multi-architecture support (amd64, s390x, ppc64le)

IBM License Service

v4.2.23 Cluster-scoped

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Manages IBM License Service for tracking and reporting license usage across the entire cluster. Required for compliance and license management of IBM Cloud Pak components.

Chart Version:4.2.23

App Version:4.2.0

Scope:Cluster-wide

Key Features

Cluster-wide license tracking
Usage reporting and analytics
Compliance monitoring
License upload and management

IBM Usage Metering

v1.0.6 Namespace-scoped

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Manages usage metering and reporting for IBM Cloud Pak components. Provides detailed metrics for capacity planning and billing purposes.

Chart Version:1.0.6

App Version:1.0.0

Scope:Namespace

Key Features

Usage metrics collection
Capacity planning data
Billing and chargeback support
Resource utilization tracking

IBM Content Operator

v26.0.0 Namespace-scoped

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Chart Version: 26.0.0

App Version: 26.0.0

Release Date: 2026-06-26

Architecture: amd64, ppc64le

Key Features

Content Platform Engine (CPE) for high-performance content storage
Content Navigator (ICN) for unified user experience
GraphQL and REST APIs for modern integration
Task Manager for workflow automation
Enterprise Records Management
Role-based redaction and access control

Common Configuration Values

crd:
  install: true
image:
  repository: cp.icr.io/cp/icp4a-content-operator
rbac:
  createClusterRole: true
  createClusterRoleBinding: true
  enabled: true

IBM Content Operator

v26.0.1 Namespace-scoped

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Chart Version: 26.0.1

App Version: 26.0.0

Release Date: 2026-07-01

Architecture: amd64, ppc64le

Key Features

Content Platform Engine (CPE) for high-performance content storage
Content Navigator (ICN) for unified user experience
GraphQL and REST APIs for modern integration
Task Manager for workflow automation
Enterprise Records Management
Role-based redaction and access control

Common Configuration Values

crd:
  install: true
image:
  repository: cp.stg.icr.io/cp/icp4a-content-operator
rbac:
  createClusterRole: true
  createClusterRoleBinding: true
  enabled: true

IBM Content Cortex AI Services Operator

v26.0.0 Namespace-scoped

⬇️ Download Chart

Deploys Core MCP server and Reasoning service with Navigator AI Agent. Enables intelligent content processing, agentic AI capabilities, and natural language interactions with enterprise content.

Chart Version: 26.0.0

App Version: 26.0.0

Release Date: 2026-06-26

Architecture: amd64

Key Features

Core MCP (Model Context Protocol) server
Reasoning service for intelligent decision-making
Navigator AI Agent for agentic content interactions
Natural language document processing
Intelligent content classification and extraction
AI-generated summaries and insights
Secure credential management for AI providers

Common Configuration Values

crd:
  install: true
image:
  repository: cp.icr.io/cp/ibm-ccx-ai-services-operator
rbac:
  createClusterRole: true
  createClusterRoleBinding: true
  enabled: true

IBM Content Cortex AI Services Operator

v26.0.1 Namespace-scoped

⬇️ Download Chart

Deploys Core MCP server and Reasoning service with Navigator AI Agent. Enables intelligent content processing, agentic AI capabilities, and natural language interactions with enterprise content.

Chart Version: 26.0.1

App Version: 26.0.0

Release Date: 2026-07-01

Architecture: amd64

Key Features

Core MCP (Model Context Protocol) server
Reasoning service for intelligent decision-making
Navigator AI Agent for agentic content interactions
Natural language document processing
Intelligent content classification and extraction
AI-generated summaries and insights
Secure credential management for AI providers

Common Configuration Values

crd:
  install: true
image:
  repository: cp.stg.icr.io/cp/ibm-ccx-ai-services-operator
rbac:
  createClusterRole: true
  createClusterRoleBinding: true
  enabled: true

IBM License Service

v4.2.23 Cluster-scoped

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Manages IBM License Service for tracking and reporting license usage across the entire cluster. Required for compliance and license management of IBM Cloud Pak components.

Chart Version: 4.2.23

App Version: 4.2.0

Release Date: 2026-06-26

Scope: Cluster-wide

Key Features

Cluster-wide license tracking
Usage reporting and analytics
Compliance monitoring
License upload and management

IBM Usage Metering

v1.0.6 Namespace-scoped

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Manages usage metering and reporting for IBM Cloud Pak components. Provides detailed metrics for capacity planning and billing purposes.

Chart Version: 1.0.6

App Version: 1.0.0

Release Date: 2026-06-26

Scope: Namespace

Key Features

Usage metrics collection
Capacity planning data
Billing and chargeback support
Resource utilization tracking

Complete Installation Guide

Choose your preferred installation method below

Prerequisites

Kubernetes 1.24+ or OpenShift 4.12+
Python 3.12+
IBM Entitlement Key from IBM Container Library
Cluster admin access

Clone Repository and Setup Environment

git clone https://github.com/ibm-ecm/ibm-content-cortex-containers.git
cd ibm-content-cortex-containers/scripts

# Create and activate virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

Deploy Operators

# Interactive deployment with guided configuration
python deploy_operator.py

# Follow prompts to:
# - Select operators to deploy
# - Configure namespaces
# - Set image pull secrets
# - Verify prerequisites

🔒 Dev mode — GITHUB_TOKEN required. Running with --dev pulls pre-release chart artifacts from the internal GHE repository. Export your GHE personal access token (repo scope) before running the command below.

Generate a personal access token →

export GITHUB_TOKEN=<your-ghe-token>
python deploy_operator.py --dev

Configure and Deploy Content

# Gather deployment properties
python prerequisites.py gather

# Generate deployment artifacts
python prerequisites.py generate

# Validate configuration
python prerequisites.py validate

Add Helm Repository in OpenShift

Option A: Using OpenShift Console

Navigate to: Developer → Helm → Repositories
Click Create
Name: ibm-content-cortex
URL: https://ibm-ecm.github.io/ibm-content-cortex-containers/charts

Option B: Using HelmChartRepository Resource

Create a HelmChartRepository custom resource (documentation):

apiVersion: helm.openshift.io/v1beta1
kind: HelmChartRepository
metadata:
  name: ibm-content-cortex
spec:
  name: IBM Content Cortex Charts
  connectionConfig:
    url: https://ibm-ecm.github.io/ibm-content-cortex-containers/charts

oc apply -f helmchartrepository.yaml

🔒 IBM GHE credentials required. The Pages URL is SSO-gated. OpenShift must pull chart archives from raw.github.ibm.com using basic auth credentials. See Step 2 below to create the credentials secret first, then apply this config in the same namespace:

apiVersion: helm.openshift.io/v1beta1
kind: ProjectHelmChartRepository
metadata:
  name: ibm-content-cortex
  namespace: ibm-content
spec:
  name: IBM Content Cortex Charts
  connectionConfig:
    url: https://raw.github.ibm.com/ecm-container-service/container-samples/gh-pages/docs
    basicAuthConfig:
      name: ibm-content-cortex-helm-credentials

oc apply -f projecthelmchartrepository.yaml -n ibm-content

Create GHE Credentials Secret

Generate a personal access token with repo scope at github.ibm.com → Settings → Developer settings → Personal access tokens.

Create the secret in the same namespace as the ProjectHelmChartRepository (ibm-content). The secret must have keys username and password:

oc create secret generic ibm-content-cortex-helm-credentials \
  --from-literal=username=<your-ghe-username> \
  --from-literal=password=<your-ghe-token> \
  -n ibm-content

Create Project and Image Pull Secret

# Create project
oc new-project ibm-content

# Create image pull secret
oc create secret docker-registry ibm-entitlement-key \
  --docker-server=cp.icr.io \
  --docker-username=cp \
  --docker-password=<your-entitlement-key> \
  -n ibm-content

Create Project and Image Pull Secret

# Create project
oc new-project ibm-content

# Create image pull secret
oc create secret docker-registry ibm-entitlement-key \
  --docker-server=cp.icr.io \
  --docker-username=cp \
  --docker-password=<your-entitlement-key> \
  -n ibm-content

Install from Developer Catalog

Navigate to: Developer → +Add → Helm Chart
Search for "IBM Content Operator" or "IBM CCx AI Services"
Click chart and select Install Helm Chart
Configure values and click Install

Install from Developer Catalog

Navigate to: Developer → +Add → Helm Chart
Search for "IBM Content Operator" or "IBM CCx AI Services"
Click chart and select Install Helm Chart
Configure values and click Install

Verify Installation

# Check operator pods
oc get pods -n ibm-content

# View Helm releases
helm list -n ibm-content

Verify Installation

# Check operator pods
oc get pods -n ibm-content

# View Helm releases
helm list -n ibm-content

Prerequisites

Kubernetes 1.24+ or OpenShift 4.12+
Helm 4.0+
IBM Entitlement Key from IBM Container Library
Cluster admin access (for cluster-scoped services)

Add Helm Repository

helm repo add ibm-content-cortex https://ibm-ecm.github.io/ibm-content-cortex-containers/charts
helm repo update
helm search repo ibm-content-cortex

🔒 IBM GHE credentials required. The Pages URL is SSO-gated and cannot be used with Helm CLI. Use the raw content URL with your GHE username and a personal access token (repo scope).

Step 1 — Generate a token:
Go to github.ibm.com → Settings → Developer settings → Personal access tokens → Generate new token
Enable the repo scope, then copy the token value.

Step 2 — Add the repository:

helm repo add ibm-content-cortex https://raw.github.ibm.com/ecm-container-service/container-samples/gh-pages/docs \
  --username  \
  --password 
helm repo update
helm search repo ibm-content-cortex

Create Namespace and Secret

kubectl create namespace ibm-content

kubectl create secret docker-registry ibm-entitlement-key \
  --docker-server=cp.icr.io \
  --docker-username=cp \
  --docker-password= \
  --namespace ibm-content

Install Operators

# Install Content Operator
helm install content-operator ibm-content-cortex/ibm-content-operator \
  --namespace ibm-content

# Install AI Services Operator
helm install ai-services-operator ibm-content-cortex/ibm-ccx-ai-services-operator \
  --namespace ibm-content

# Verify installation
kubectl get pods -n ibm-content
helm list -n ibm-content

Helm Charts Repository

📦 Repository Information

Quick Add Repository

Available Charts

IBM Content Operator

Key Features

Common Configuration Values

Watson Enhanced Extraction Service Operator

Key Features

Common Configuration Values

IBM Content Cortex AI Services Operator

Key Features

Common Configuration Values

IBM Redis Operator

Key Features

IBM PostgreSQL Operator

Key Features

IBM Watson Gateway Operator

Key Features

IBM License Service

Key Features

IBM Usage Metering

Key Features

IBM Content Operator

Key Features

Common Configuration Values

IBM Content Operator

Key Features

Common Configuration Values

IBM Content Cortex AI Services Operator

Key Features

Common Configuration Values

IBM Content Cortex AI Services Operator

Key Features

Common Configuration Values

IBM License Service

Key Features

IBM Usage Metering

Key Features

Complete Installation Guide

Prerequisites

Clone Repository and Setup Environment

Deploy Operators

Configure and Deploy Content

Add Helm Repository in OpenShift

Create GHE Credentials Secret

Create Project and Image Pull Secret

Create Project and Image Pull Secret

Install from Developer Catalog

Install from Developer Catalog

Verify Installation

Verify Installation

Prerequisites

Add Helm Repository

Create Namespace and Secret

Install Operators