Add Agentic Data Plane (ADP) documentation support

.github/workflows/afdocs-checks.yml

@@ -51,42 +51,3 @@ jobs:
           echo "**Deploy URL:** ${{ steps.wait-for-netlify.outputs.url }}" >> $GITHUB_STEP_SUMMARY
           echo "" >> $GITHUB_STEP_SUMMARY
           echo "Run locally: \`DEPLOY_URL=${{ steps.wait-for-netlify.outputs.url }} npm run afdocs:verbose\`" >> $GITHUB_STEP_SUMMARY
-
-  redirect-tests:
-    name: Redirect Tests
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v4
-
-      - name: Setup Node.js
-        uses: actions/setup-node@v4
-        with:
-          node-version: '24'
-          cache: 'npm'
-
-      - name: Install dependencies
-        run: npm ci
-
-      - name: Wait for Netlify Deploy
-        uses: jakepartusch/wait-for-netlify-action@v1.4
-        id: wait-for-netlify
-        with:
-          site_name: redpanda-documentation
-          max_timeout: 600
-
-      - name: Run redirect tests
-        env:
-          DEPLOY_URL: ${{ steps.wait-for-netlify.outputs.url }}
-        run: npm run test:redirects:verbose
-
-      - name: Post results summary
-        if: always()
-        run: |
-          echo "## Redirect Tests" >> $GITHUB_STEP_SUMMARY
-          echo "" >> $GITHUB_STEP_SUMMARY
-          echo "**Deploy URL:** ${{ steps.wait-for-netlify.outputs.url }}" >> $GITHUB_STEP_SUMMARY
-          echo "" >> $GITHUB_STEP_SUMMARY
-          echo "Validates redirect rules in netlify.toml" >> $GITHUB_STEP_SUMMARY
-          echo "" >> $GITHUB_STEP_SUMMARY
-          echo "Run locally: \`DEPLOY_URL=${{ steps.wait-for-netlify.outputs.url }} npm run test:redirects:verbose\`" >> $GITHUB_STEP_SUMMARY

antora-playbook.yml

@@ -81,6 +81,8 @@ content:
     branches: main
   - url: https://github.com/redpanda-data/rp-connect-docs
     branches: main
+  - url: https://github.com/redpanda-data/adp-docs
+    branches: main
 ui:
   bundle:
     url: https://github.com/redpanda-data/docs-ui/releases/latest/download/ui-bundle.zip

data-platform/modules/ROOT/nav.adoc

@@ -1,2 +1 @@
 * xref:index.adoc[Overview]
-* xref:how-to-use-these-docs.adoc[How to Use These Docs]

data-platform/modules/ROOT/pages/index.adoc

@@ -11,10 +11,6 @@
 :page-hero-stat2-text: connectors
 // === ASK AI SECTION ===
 :hero-ask-placeholder: Ask AI about Redpanda...
-:hero-suggestions-label: Try asking:
-:hero-suggestion-1: How do I write from Redpanda Streaming to Snowflake?
-:hero-suggestion-2: What's the difference between Redpanda and Kafka?
-:hero-suggestion-3: How do I create a CDC pipeline from Postgres to Redpanda Cloud?
 // === CHOOSE SECTION (heading) ===
 :page-choose-heading: Choose how you'll run Redpanda
 :page-choose-subtitle: Self-Managed or Cloud: same Kafka-compatible engine, different operations model. Both include Redpanda Connect for building data pipelines.

home/antora.yml

@@ -57,3 +57,8 @@ asciidoc:
             description: 'Integrate data across systems with hundreds of prebuilt connectors, including AI and change data capture (CDC).'
             urls:
               - url: 'connect:get-started:quickstarts/rpk.adoc'
+          - title: 'Agentic Data Plane'
+            image: adp.svg
+            description: 'Build, deploy, and govern AI agents at scale with enterprise governance, cost controls, and compliance-grade audit trails.'
+            urls:
+              - url: 'agentic-data-plane:home:index.adoc'

home/modules/ROOT/nav.adoc

@@ -1,2 +1,2 @@
 * xref:index.adoc[Overview]
-* xref:data-platform:ROOT:how-to-use-these-docs.adoc[How to Use These Docs]
+* xref:ROOT:how-to-use-these-docs.adoc[How to Use These Docs]

data-platform/modules/ROOT/pages/how-to-use-these-docs.adoc → home/modules/ROOT/pages/how-to-use-these-docs.adoc

@@ -1,41 +1,41 @@
 = How to Use These Docs
 :description: Navigate Redpanda's documentation structure and leverage AI-powered features including MCP server integration, markdown exports, and interactive documentation tools.
-:page-aliases: mcp-setup.adoc, home:ROOT:mcp-setup.adoc
+:page-aliases: home:ROOT:mcp-setup.adoc, data-platform:ROOT:how-to-use-these-docs.adoc
 
 Redpanda's documentation helps you stream data, build pipelines, and deploy AI agents whether you manage infrastructure yourself or run in the cloud. This page explains how our docs are organized, clarifies the relationship between deployment models and products, and shows you how to access documentation through AI-powered tools and programmatic interfaces.
 
 == Understand the documentation structure
 
-Redpanda's documentation is organized around the Data Platform, the streaming foundation for everything you build. You can deploy the Data Platform in two ways: as a fully managed Cloud service or as a Self-Managed installation where you control the infrastructure. Regardless of deployment model, you have access to multiple products including Streaming (the broker and Redpanda CLI) and Connect (data pipelines).
+Redpanda's documentation is organized around multiple deployment models and products. The Data Platform provides the streaming foundation with Cloud or Self-Managed deployment options. The Agentic Data Plane (ADP) offers a specialized infrastructure for AI agents and agentic workflows.
 
 .Documentation hierarchy
 ----
 Redpanda Documentation
-└── Data Platform
-    ├── Cloud (managed by Redpanda)
-    │   ├── Serverless
-    │   ├── BYOC
-    │   └── Dedicated
-    └── Self-Managed (managed by you)
-        ├── Streaming (broker, Redpanda CLI)
-        └── Connect (data pipelines)
+├── Data Platform
+│   ├── Cloud (managed by Redpanda)
+│   │   ├── Serverless
+│   │   ├── BYOC
+│   │   └── Dedicated
+│   └── Self-Managed (managed by you)
+│       ├── Streaming (broker, Redpanda CLI)
+│       └── Connect (data pipelines)
+└── Agentic Data Plane (ADP)
+    └── AI agent infrastructure and workflows
 ----
 
 [NOTE]
 ====
 *What changed:* Previously, the software that deployed a Redpanda broker was called "Redpanda Self-Managed". In the new structure, "Self-Managed" refers to the deployment model (you manage the infrastructure), while "Streaming" is the product name for the broker itself.
-
-* *Old:* "Redpanda Self-Managed" is the broker product
-* *New:* "Self-Managed" is deployment model that includes Streaming and Connect products
 ====
 
 *Key components:*
 
 * xref:index.adoc[Data Platform overview]: The streaming foundation
-* xref:self-managed:ROOT:index.adoc[Self-Managed documentation]: Deploy and manage yourself
-** xref:streaming:home:index.adoc[Streaming documentation]: Broker and Redpanda CLI
-** xref:connect:home:index.adoc[Connect documentation]: Data pipelines and integration
-* xref:cloud-data-platform:home:index.adoc[Cloud documentation]: Fully managed services
+** xref:self-managed:ROOT:index.adoc[Self-Managed documentation]: Deploy and manage yourself
+*** xref:streaming:home:index.adoc[Streaming documentation]: Broker and Redpanda CLI
+*** xref:connect:home:index.adoc[Connect documentation]: Data pipelines and integration
+** xref:cloud-data-platform:home:index.adoc[Cloud documentation]: Fully managed services
+* xref:agentic-data-plane:home:index.adoc[Agentic Data Plane (ADP)]: AI agent infrastructure
 
 == Choose your path
 
@@ -58,6 +58,11 @@ Find the documentation that matches your use case:
 * Hundreds of prebuilt connectors including AI and change data capture (CDC)
 * xref:connect:home:index.adoc[Connect documentation]
 
+*I want to build AI agent infrastructure* → ADP docs
+
+* Specialized platform for agentic workflows and AI agent orchestration
+* xref:agentic-data-plane:home:index.adoc[Get started with ADP]
+
 == AI agent access
 
 Redpanda's documentation is optimized for AI agents and LLM consumption. Whether you're building AI agents, IDE plugins, or automation tools, you can access documentation through interactive page features, a Model Context Protocol (MCP) server for real-time queries, and static markdown exports for offline processing.