diff --git a/.github/workflows/dispatch-deploy-draft.yml b/.github/workflows/dispatch-deploy-draft.yml
new file mode 100644
index 000000000..dbbbf7b8f
--- /dev/null
+++ b/.github/workflows/dispatch-deploy-draft.yml
@@ -0,0 +1,45 @@
+name: Deploy Draft
+
+on:
+  pull_request:
+    branches:
+      - '*'
+
+jobs:
+  dispatch-deploy:
+    runs-on: ubuntu-latest
+
+    steps:
+        # Determine the build branch and draft branch for dispatch.
+      - name: Determine Dispatch Parameters
+        run: |
+          if [ "${{ github.event_name }}" == "pull_request" ]; then
+            # If this workflow is kicked off by a pull request, build
+            # a draft using the pull request base branch and PR branch.
+            build_branch="${{ github.base_ref }}"
+            draft_branch="${{ github.event.pull_request.head.ref }}"
+          else
+            if [ "$(basename ${{ github.event.ref }})" == "stage" ]; then
+              # This was a merge to stage so kick off a build to update stage draft.
+              build_branch=stage
+              draft_branch=stage
+            else
+              # Otherwise this is a push to one of the source branches so
+              # dispatch a build for the main draft to pick up the changes.
+              build_branch=main
+              draft_branch=main
+            fi
+          fi
+          echo "build_branch=$build_branch" >> $GITHUB_OUTPUT
+          echo "draft_branch=$draft_branch" >> $GITHUB_OUTPUT
+        id: branches
+
+      - name: Deploy Draft
+        uses: convictional/trigger-workflow-and-wait@v1.6.1
+        with:
+          owner: riptano
+          repo: datastax-docs-site
+          github_token: ${{ secrets.DISPATCH_GITHUB_TOKEN }}
+          github_user: ${{ secrets.DISPATCH_GITHUB_USER }}
+          workflow_file_name: deploy-draft.yml
+          client_payload: '{ "build_repository": "${{ github.event.repository.full_name }}", "build_branch": "${{ steps.branches.outputs.build_branch }}", "draft_branch": "${{ steps.branches.outputs.draft_branch }}", "pull_request_number": "${{ github.event.pull_request.number }}" }'
diff --git a/docs/.gitignore b/docs/.gitignore
index b38db2f29..6bada636f 100644
--- a/docs/.gitignore
+++ b/docs/.gitignore
@@ -1,2 +1,15 @@
-node_modules/
-build/
+#OS
+**/.DS_Store
+**/.git-credentials
+
+#IDE
+**/.vscode/
+**/.idea
+**/*.iml
+*.http
+**/.java-version
+
+#build
+**/package-lock.json
+**/node_modules/
+/build/
\ No newline at end of file
diff --git a/docs/README.adoc b/docs/README.adoc
index 766917554..b365e8c01 100644
--- a/docs/README.adoc
+++ b/docs/README.adoc
@@ -1,14 +1,17 @@
-= {company} {product} Docs
+= {product} Docs
 // Variables:
 :product: RAGStack
-:company: DataStax
+:repo-name: ragstack-ai
+:github-org: datastax
 // Settings:
+:toc: macro
 :!example-caption:
 :experimental:
 :hide-uri-scheme:
-:toc: macro
 ifdef::env-github[]
 :icons: font
+:toclevels: 1
+:toc-title: Contents
 :tip-caption: :bulb:
 :note-caption: :information_source:
 :important-caption: :heavy_exclamation_mark:
@@ -16,77 +19,140 @@ ifdef::env-github[]
 :warning-caption: :warning:
 :badges:
 endif::[]
-// URLs:
-:url-org: https://github.com/datastax
+// Project URLs:
+:url-github-org: https://github.com/{github-org}
+:url-project-repo: {url-github-org}/{repo-name}
+:url-ui-repo: https://github.com/riptano/docs-ui
+:url-playbook-repo: https://github.com/riptano/datastax-docs-site
+:url-contribute:
 :url-datastax: https://datastax.com
 :url-datastax-docs: https://docs.datastax.com
-:url-asciidoc-docs: https://docs.asciidoctor.org/asciidoc/latest/
+:url-docs-preview: http://docs-preview.datastax.com
+// External URLs:
+:asciidoc-language: https://docs.asciidoctor.org/asciidoc/latest/
+
+This repository contains the source files for the {product} documentation.
+
+toc::[]
+
+== Get started
+
+The documentation is written in {asciidoc-language}[AsciiDoc]-formatted source files located in the `modules` directory.
+
+=== Make a simple update
+
+For simple updates like fixing typos or modifying existing prose, it's easiest to edit the source files directly on GitHub.
+
+NOTE: You'll need Write privileges on the repository to edit files directly on GitHub.
+
+. Find the file you want to edit in the `modules` directory.
+
+. Click the *Edit* icon in the upper-right corner of the file view.
+
+. Make your changes in the editor.
+
+. Click *Commit changes...*
 
+. Enter a description for your commit and click *Propose changes*.
 
-Documentation source for {company} {product}.
+. On the *Open a pull request* screen, enter a title and description for your change, assign reviewers, then click *Create pull request*.
 
-== Build docs locally
+. Once the pull request is open, an automatic draft preview build is triggered.
+Once complete, the build system posts a comment on the pull request with a link to the draft site for you to preview your changes.
 
-. Clone this repository.
+=== Edit docs locally
+
+If you need to make substantial updates to the documentation, you'll want to clone the repository so you can work with the source files locally.
+
+. Clone this repository
 +
-[source,shell]
+[source,bash,subs="attributes"]
 ----
-git clone https://github.com/datastax/ragstack-ai.git
+git clone {url-project-repo}.git
 ----
 
+. https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens#creating-a-personal-access-token-classic[Create a _classic_ personal access token] for your GitHub account.
+When configuring the token, set the *Expiration* to at least 90 days and select everything under the *Repo* https://docs.github.com/en/apps/oauth-apps/building-oauth-apps/scopes-for-oauth-apps#available-scopes[scope].
++
+[IMPORTANT]
+====
+Copy your personal access token to a temporary location -- you'll need it later.
+====
+
+. https://docs.github.com/en/enterprise-cloud@latest/authentication/authenticating-with-saml-single-sign-on/authorizing-a-personal-access-token-for-use-with-saml-single-sign-on[Authorize your personal access token] so that it can access repositories in the Riptano and DataStax organizations in GitHub.
+
+. https://docs.antora.org/antora/latest/playbook/private-repository-auth/#populate-credentials-directly[Populate the credential store] with your personal access token.
+For most people this means doing the following:
++
+..  Create the file `$HOME/.git-credentials` and open it in your editor.
+.. Add the following line:
++
+[source,subs="verbatim,quotes"]
+----
+https://**TOKEN**:@github.com
+----
++
+Replace *`TOKEN`* with the personal access token you copied from GitHub.
+.. Save and close the file.
+
 . If you don't already have Node.js installed, do the following:
 
 .. Install https://github.com/nvm-sh/nvm[nvm].
 +
 If you're on macOS, you can install nvm using https://brew.sh/[Homebrew]:
 +
-[source,shell]
+[source,bash]
 ----
 brew install nvm
 ----
 
 .. Use nvm to install Node.js.
 +
-[source,shell]
+[source,bash]
 ----
 nvm install --lts
 ----
 +
-[source,shell]
+[source,bash]
 ----
 nvm use --lts
 ----
 +
-[source,shell]
+[source,bash]
 ----
 nvm alias default node
 ----
 
 . Install the project dependencies.
 +
-[source,shell]
+[source,bash,subs="attributes"]
 ----
-cd ragstack-ai/docs
+cd {repo-name}
 ----
 +
-[source,shell]
+[source,bash]
 ----
 npm install
 ----
 
 . Build the site.
 +
-[source,shell]
+[source,bash]
 ----
-npm run build:local:ragstack
+npm run build:local
 ----
 +
 If the build was successful, you'll see the following output in your terminal:
 +
-[source,console]
+[source,console,subs="attributes"]
 ----
 Site generation complete!
-Open file:///absolute-path-to-repo/ragstack-ai/docs/build/site/index.html in a browser to view your site.
+Open file:///Users/USERNAME/repos/{repo-name}/build/site/index.html in a browser to view your site.
 ----
 +
 To view the site, paste the entire `\file:///` path into your browser's address bar and press kbd:[Return].
+
+[#publish-docs]
+== Publish docs
+
+To learn how to publish documentation to {url-datastax-docs}, see the {url-playbook-repo}#deploy-production[datastax-docs-site README].
diff --git a/docs/antora-ragstack.yml b/docs/antora-ragstack.yml
deleted file mode 100644
index eadcbdadd..000000000
--- a/docs/antora-ragstack.yml
+++ /dev/null
@@ -1,14 +0,0 @@
-name: docs
-version: ~
-title: 'RAGStack'
-start_page: ROOT:index.adoc
-asciidoc:
-  attributes:
-    company: 'DataStax'
-    product: 'RAGStack'
-    db-cassandra: 'Astra DB Serverless (Non-Vector)'
-    db-vector: 'Astra DB Serverless (Vector)'
-    db-serverless: 'Astra DB Serverless'
-    astra-ui: 'Astra Portal'
-nav:
-- modules/ROOT/nav.adoc
diff --git a/docs/antora.yml b/docs/antora.yml
deleted file mode 120000
index 30ab43c4d..000000000
--- a/docs/antora.yml
+++ /dev/null
@@ -1 +0,0 @@
-antora-ragstack.yml
\ No newline at end of file
diff --git a/docs/antora.yml b/docs/antora.yml
new file mode 100644
index 000000000..c9bd56d58
--- /dev/null
+++ b/docs/antora.yml
@@ -0,0 +1,14 @@
+name: ragstack
+version: ~
+title: 'RAGStack'
+start_page: ROOT:index.adoc
+asciidoc:
+  attributes:
+    company: 'DataStax'
+    product: 'RAGStack'
+    db-cassandra: 'Astra DB Serverless (Non-Vector)'
+    db-vector: 'Astra DB Serverless'
+    db-serverless: 'Astra DB Serverless'
+    astra-ui: 'Astra Portal'
+nav:
+- modules/ROOT/nav.adoc
diff --git a/docs/extensions/svg-macro.js b/docs/extensions/svg-macro.js
new file mode 100644
index 000000000..e7f592821
--- /dev/null
+++ b/docs/extensions/svg-macro.js
@@ -0,0 +1,110 @@
+const logger = require("@antora/logger")("asciidoctor:svg-macro");
+
+/**
+ * @example Inline Embedded SVG
+ * svg:ROOT:ui/icons/vector.svg[]
+ */
+function inlineSvgMacro({ contentCatalog, file }) {
+  return function () {
+    this.process((parent, target, attrs) => {
+      svgContent = getSvgContent(target, file, contentCatalog);
+      if (!svgContent) return;
+      return this.createInlinePass(
+        parent,
+        svgContent.replace("<svg", `<svg ${htmlAttrs(attrs)}`)
+      );
+    });
+  };
+}
+
+/**
+ * @example Block Embedded SVG
+ * svg::home:diagrams/graphic.svg[alt="My Graphic"]
+ */
+function blockSvgMacro({ contentCatalog, file }) {
+  return function () {
+    this.process((parent, target, attrs) => {
+      svgContent = getSvgContent(target, file, contentCatalog);
+      if (!svgContent) return;
+      const svgHtmlAttrs = htmlAttrs({ ...attrs, role: undefined });
+      const containerHtmlAttrs = attrs.role
+        ? `class="imageblock ${attrs.role}"`
+        : 'class="imageblock"';
+      const html =
+        `<div ${containerHtmlAttrs}><div class="content">` +
+        svgContent.replace("<svg", `<svg ${svgHtmlAttrs}`) +
+        "</div></div>";
+      return this.createBlock(parent, "pass", html);
+    });
+  };
+}
+
+/**
+ * This macro relies on the material-icons font being loaded in UI bundle.
+ *
+ * @example Material Icon
+ * icon:material-icons:menu_open[]
+ *
+ * @example Embedded SVG
+ * icon:ROOT:ui/icons/vector.svg[]
+ */
+function inlineIconMacro({ contentCatalog, file }) {
+  return function () {
+    this.process((parent, target, attrs) => {
+      if (target.startsWith("material-icons")) {
+        iconTarget = target
+          .replace("material-icons:", "")
+          .trim()
+          .replace("-", "_");
+        return this.createInlinePass(
+          parent,
+          `<i ${htmlAttrs(attrs, "material-icons icon")}>${iconTarget}</i>`
+        );
+      } else {
+        svgContent = getSvgContent(target, file, contentCatalog);
+        if (!svgContent) return;
+        return this.createInlinePass(
+          parent,
+          svgContent.replace("<svg", `<svg ${htmlAttrs(attrs, "svg icon")}`)
+        );
+      }
+    });
+  };
+}
+
+function getSvgContent(target, file, contentCatalog) {
+  svgFile = contentCatalog.resolveResource(target, file.src, "image", [
+    "image",
+  ]);
+  if (!svgFile)
+    return logger.error({ target, file }, `target of svg not found: ${target}`);
+  svgContent = svgFile.contents.toString();
+  if (!svgContent.startsWith("<svg"))
+    return logger.error({ target, file }, "file contents must be a valid svg");
+  return svgContent;
+}
+
+function htmlAttrs({ width, height, role, alt, title }, klass = "svg") {
+  return [
+    width && `width="${width}"`,
+    height && `height="${height}"`,
+    role ? `class="${klass} ${role}"` : `class="${klass}"`,
+    alt && `aria-label="${alt}"`,
+    title && `aria-label="${title}"`,
+    (alt || title) && 'role="img"',
+  ]
+    .filter(Boolean)
+    .join(" ");
+}
+
+/**
+ * @param { import("@asciidoctor/core/types").Asciidoctor.Extensions.Registry } registry
+ * @param context
+ */
+function register(registry, context) {
+  registry.inlineMacro("svg", inlineSvgMacro(context));
+  registry.blockMacro("svg", blockSvgMacro(context));
+  registry.inlineMacro("icon", inlineIconMacro(context));
+}
+
+module.exports.register = register;
diff --git a/docs/extensions/tailwind-processor.js b/docs/extensions/tailwind-processor.js
new file mode 100644
index 000000000..894d1e8ca
--- /dev/null
+++ b/docs/extensions/tailwind-processor.js
@@ -0,0 +1,12 @@
+'use strict'
+
+const { execSync } = require('child_process')
+
+module.exports.register = (context) => {
+  context.once('sitePublished', () => {
+    const logger = context.getLogger('tailwind-processor-extension')
+    logger.info('Building Tailwind')
+    execSync('npm run tailwindcss', { stdio: 'inherit' })
+    logger.info('Tailwind Build Successful')
+  })
+}
diff --git a/docs/extensions/unlisted-pages-extension.js b/docs/extensions/unlisted-pages-extension.js
new file mode 100644
index 000000000..ec1b337f5
--- /dev/null
+++ b/docs/extensions/unlisted-pages-extension.js
@@ -0,0 +1,41 @@
+module.exports.register = function ({ config }) {
+  const { addToNavigation, unlistedPagesHeading = 'Unlisted Pages' } = config
+  const logger = this.getLogger('unlisted-pages-extension')
+  this
+    .on('navigationBuilt', ({ contentCatalog }) => {
+      contentCatalog.getComponents().forEach(({ versions }) => {
+        versions.forEach(({ name: component, version, navigation: nav, url: defaultUrl }) => {
+          const navEntriesByUrl = getNavEntriesByUrl(nav)
+          const unlistedPages = contentCatalog
+            .findBy({ component, version, family: 'page' })
+            .filter((page) => page.out)
+            .reduce((collector, page) => {
+              // Check if the 'unlisted-page' attribute is set to true
+              if (page.asciidoc.attributes['unlisted-page'] === 'true') {
+                  return collector; // Skip this page
+              }
+              if ((page.pub.url in navEntriesByUrl) || page.pub.url === defaultUrl) return collector
+              logger.warn({ file: page.src, source: page.src.origin }, 'detected unlisted page')
+              return collector.concat(page)
+            }, [])
+          if (unlistedPages.length && addToNavigation) {
+            nav.push({
+              content: unlistedPagesHeading,
+              items: unlistedPages.map((page) => {
+                return { content: page.asciidoc.navtitle, url: page.pub.url, urlType: 'internal' }
+              }),
+              root: true,
+            })
+          }
+        })
+      })
+    })
+}
+
+function getNavEntriesByUrl (items = [], accum = {}) {
+  items.forEach((item) => {
+    if (item.urlType === 'internal') accum[item.url.split('#')[0]] = item
+    getNavEntriesByUrl(item.items, accum)
+  })
+  return accum
+}
diff --git a/docs/playbooks/site-local-ragstack.yaml b/docs/local-preview-playbook.yml
similarity index 64%
rename from docs/playbooks/site-local-ragstack.yaml
rename to docs/local-preview-playbook.yml
index 8d2508af1..eded1ce71 100644
--- a/docs/playbooks/site-local-ragstack.yaml
+++ b/docs/local-preview-playbook.yml
@@ -6,23 +6,32 @@ git:
   fetch_concurrency: 10
 
 site:
-  title: DataStax RAGStack Docs
-  start_page: docs::index.adoc
-  url: https://docs.datastax.com/en/ragstack
+  title: DataStax Docs
+  start_page: ragstack::index.adoc
+  robots: disallow
 
 content:
+  branches: main # Sources default to this branch if none are specified.
   sources:
-  - url: ../
+  - url: ..
     start_path: docs
+    branches: HEAD
 
 antora:
   extensions:
   - '@antora/collector-extension'
+  - extensions/tailwind-processor.js
+  - id: unlisted-pages
+    enabled: true
+    require: extensions/unlisted-pages-extension.js
+    add_to_navigation: false
+    unlisted_pages_heading: Orphans
 
 asciidoc:
   extensions:
   - '@asciidoctor/tabs'
   - extensions/remote-include-processor.js
+  - extensions/svg-macro.js
   - asciidoctor-kroki
   - asciidoctor-external-callout
   attributes:
@@ -36,37 +45,29 @@ asciidoc:
     max-include-depth: 10
     page-toclevels: 2@
     sectlinks: ''
-    page-pagination: ''
     tabs-sync-option: ''
-    table-caption: false
+    example-caption: false
     figure-caption: false
+    table-caption: false
     xrefstyle: short
     # CUSTOM ATTRIBUTES
     company: 'DataStax'
     astra_db: 'Astra DB'
     astra_stream: 'Astra Streaming'
     astra_ui: 'Astra Portal'
-    db-cassandra: 'Astra DB Serverless (Non-Vector)'
-    db-vector: 'Astra DB Serverless (Vector)'
-    db-serverless: 'Astra DB Serverless'
     support_url: 'https://support.datastax.com'
     glossary-url: 'https://docs.datastax.com/en/glossary/docs/index.html#'
-    external-link-icon: '&#x2197;'
 
 urls:
-  # redirect_facility: httpd
   latest_version_segment_strategy: redirect:from
   latest_version_segment: 'latest'
 
 ui:
   bundle:
-    url: https://github.com/riptano/antora-ui-docs/releases/latest/download/ui-bundle.zip
+    url: https://github.com/riptano/docs-ui/releases/latest/download/ui-bundle.zip
     # url: https://gitlab.com/antora/antora-ui-default/-/jobs/artifacts/HEAD/raw/build/ui-bundle.zip?job=bundle-stable
     snapshot: true
+  # supplemental_files: supplemental-ui
 
 output:
-  # Bsys requires the output.dir in the site-publish playbook to be specifically
-  # set to "~/work/<repo-name>/build/site". This is because bsys clones the
-  # content source repo into "/work", and then looks for the Antora-generated
-  # site in "build/site" within the repo directory when deploying/syncing.
-  dir: 'build/site'
+  dir: 'build/site'
\ No newline at end of file
diff --git a/docs/modules/ROOT/pages/changelog.adoc b/docs/modules/ROOT/pages/changelog.adoc
index b33d7f4c4..c9b705eaf 100644
--- a/docs/modules/ROOT/pages/changelog.adoc
+++ b/docs/modules/ROOT/pages/changelog.adoc
@@ -4,9 +4,9 @@ The RAGStack changelog provides information about dependency versions for each r
 
 For more, see:
 
-* https://github.com/datastax/ragstack-ai/releases[GitHub releases^]{external-link-icon}
+* https://github.com/datastax/ragstack-ai/releases[GitHub releases^]
 
-* https://pypi.org/project/ragstack-ai/[PyPI^]{external-link-icon}
+* https://pypi.org/project/ragstack-ai/[PyPI^]
 
 
 == `ragstack-ai`@1.0.0 (2024-04-24)
@@ -81,7 +81,7 @@ For more, see:
 | <0.2.0,>=0.1.4
 
 | langchain
-| https://datastax.github.io/ragstack-ai/api_reference/1.0.0/langchain[==0.1.16]{external-link-icon}
+| https://datastax.github.io/ragstack-ai/api_reference/1.0.0/langchain[==0.1.16]
 
 | langchain-astradb
 | ==0.2.0
@@ -149,7 +149,7 @@ For more, see:
 | >=0.1.3,<0.2.0
 
 | langchain
-| https://datastax.github.io/ragstack-ai/api_reference/0.10.0/langchain[==0.1.12]{external-link-icon}
+| https://datastax.github.io/ragstack-ai/api_reference/0.10.0/langchain[==0.1.12]
 
 | langchain-astradb
 | ==0.1.0
@@ -188,7 +188,7 @@ For more, see:
 | >=0.1.3,<0.2.0
 
 | langchain
-| https://datastax.github.io/ragstack-ai/api_reference/0.9.0/langchain[==0.1.12]{external-link-icon}
+| https://datastax.github.io/ragstack-ai/api_reference/0.9.0/langchain[==0.1.12]
 
 | llama-index
 | ==0.9.48
@@ -219,7 +219,7 @@ For more, see:
 | >=0.1.3,<0.2.0
 
 | langchain
-| https://datastax.github.io/ragstack-ai/api_reference/0.8.0/langchain[==0.1.4]{external-link-icon}
+| https://datastax.github.io/ragstack-ai/api_reference/0.8.0/langchain[==0.1.4]
 
 | llama-index
 | ==0.9.48
@@ -251,7 +251,7 @@ For more, see:
 | >=0.1.3,<0.2.0
 
 | langchain
-| https://datastax.github.io/ragstack-ai/api_reference/0.7.0/langchain[==0.1.4]{external-link-icon}
+| https://datastax.github.io/ragstack-ai/api_reference/0.7.0/langchain[==0.1.4]
 
 | llama-index
 | ==0.9.48
@@ -282,7 +282,7 @@ For more, see:
 | >=0.1.3,<0.2.0
 
 | langchain
-| https://datastax.github.io/ragstack-ai/api_reference/0.6.0/langchain[==0.1.4]{external-link-icon}
+| https://datastax.github.io/ragstack-ai/api_reference/0.6.0/langchain[==0.1.4]
 
 | llama-index
 | ==0.9.34
@@ -313,7 +313,7 @@ For more, see:
 | >=0.1.3,<0.2.0
 
 | langchain
-| https://datastax.github.io/ragstack-ai/api_reference/0.5.0/langchain[==0.0.354]{external-link-icon}
+| https://datastax.github.io/ragstack-ai/api_reference/0.5.0/langchain[==0.0.354]
 
 | llama-index
 | ==0.9.29
@@ -343,7 +343,7 @@ For more, see:
 | >=0.1.3,<0.2.0
 
 | langchain
-| https://datastax.github.io/ragstack-ai/api_reference/0.4.0/langchain[==0.0.350]{external-link-icon}
+| https://datastax.github.io/ragstack-ai/api_reference/0.4.0/langchain[==0.0.350]
 
 | llama-index
 | ==0.9.14
@@ -372,7 +372,7 @@ For more, see:
 | >=0.1.3,<0.2.0
 
 | langchain
-| https://datastax.github.io/ragstack-ai/api_reference/0.3.1/langchain[==0.0.349]{external-link-icon}
+| https://datastax.github.io/ragstack-ai/api_reference/0.3.1/langchain[==0.0.349]
 
 | llama-index
 | ==0.9.14
diff --git a/docs/modules/ROOT/pages/dev-environment.adoc b/docs/modules/ROOT/pages/dev-environment.adoc
index a8891fbca..b5b935efc 100644
--- a/docs/modules/ROOT/pages/dev-environment.adoc
+++ b/docs/modules/ROOT/pages/dev-environment.adoc
@@ -3,7 +3,7 @@
 Set up a local development environment and install RAGStack.
 
 == Venv
-. Install https://www.python.org/downloads/[Python 3.11]{external-link-icon} or higher.
+. Install https://www.python.org/downloads/[Python 3.11] or higher.
 . Create a virtual environment, activate it, and install RAGStack.
 +
 [source,python]
@@ -30,7 +30,7 @@ pip install -r requirements.txt
 . To deactivate the virtual environment, type `deactivate`.
 
 == Conda
-. Install https://www.anaconda.com/download[Conda]{external-link-icon} or https://docs.conda.io/projects/miniconda/en/latest/[Miniconda]{external-link-icon}.
+. Install https://www.anaconda.com/download[Conda] or https://docs.conda.io/projects/miniconda/en/latest/[Miniconda].
 . Create a virtual environment, activate it, and install RAGStack.
 +
 [source,python]
@@ -61,7 +61,7 @@ This will create a new conda environment with the same packages and versions as
 ====
 Poetry requires Python 3.8+.
 ====
-. Install https://python-poetry.org/[Poetry]{external-link-icon}.
+. Install https://python-poetry.org/[Poetry].
 . If you already have a `poetry.lock` file, use `poetry add ragstack-ai` to add RAGStack to your project.
 If not, continue to the next step.
 . In your application directory, run `poetry init` to create a `pyproject.toml` file.
@@ -85,7 +85,7 @@ Package to add or search for (leave blank to skip): ragstack-ai
 Enter package # to add, or the complete package name if it is not listed []:
  [ 0] ragstack-ai
  > 0
-Enter the version constraint to require (or leave blank to use the latest version): 
+Enter the version constraint to require (or leave blank to use the latest version):
 Using version ^0.1.2 for ragstack-ai
 ----
 
diff --git a/docs/modules/ROOT/pages/index.adoc b/docs/modules/ROOT/pages/index.adoc
index b14f7eeaa..f3ba35bc3 100644
--- a/docs/modules/ROOT/pages/index.adoc
+++ b/docs/modules/ROOT/pages/index.adoc
@@ -1,5 +1,4 @@
 = {product} Documentation
-:page-layout: gcx-landing
 
 ++++
 <div class="landing-row">
@@ -35,7 +34,7 @@ If you are already using an open-source library that is part of {product} in you
 --
 {company} has been busy helping our customers through the pains of RAG implementation, so the {product} components we've selected have withstood production workloads and stringent testing by our engineering teams for performance, compatibility, and security.
 
-* {product} leverages the https://python.langchain.com/docs/get_started/introduction[LangChain^]{external-link-icon} ecosystem and is fully compatible with https://docs.smith.langchain.com/[LangSmith^]{external-link-icon} for monitoring your AI deployments.
+* {product} leverages the https://python.langchain.com/docs/get_started/introduction[LangChain^] ecosystem and is fully compatible with https://docs.smith.langchain.com/[LangSmith^] for monitoring your AI deployments.
 
 * The https://docs.datastax.com/en/astra/astra-db-vector/get-started/quickstart.html[{db-serverless}] database provides the best performance and scalability for RAG applications, in addition to being particularly well-suited to RAG workloads like question answering, semantic search, and semantic caching.
 --
diff --git a/docs/modules/ROOT/pages/migration.adoc b/docs/modules/ROOT/pages/migration.adoc
index b19200702..c0255e2a4 100644
--- a/docs/modules/ROOT/pages/migration.adoc
+++ b/docs/modules/ROOT/pages/migration.adoc
@@ -16,7 +16,7 @@ RAGStack contains the below packages as of version `0.7.0`. When RAGStack is ins
 | >=0.1.3,<0.2.0
 
 | langchain
-| https://datastax.github.io/ragstack-ai/api_reference/0.7.0/langchain[==0.1.4]{external-link-icon}
+| https://datastax.github.io/ragstack-ai/api_reference/0.7.0/langchain[==0.1.4]
 
 | llama-index
 | ==0.9.48
diff --git a/docs/modules/ROOT/pages/packages.adoc b/docs/modules/ROOT/pages/packages.adoc
index cf634f942..8bee6a1f1 100644
--- a/docs/modules/ROOT/pages/packages.adoc
+++ b/docs/modules/ROOT/pages/packages.adoc
@@ -14,8 +14,8 @@ LLMs, embeddings, and third-party providers are not included in this package by
 
 To use LLMs, embeddings, or third-party providers, you can leverage `ragstack-ai-langchain` extras:
 
-. `ragstack-ai-langchain[google]` lets you work with https://python.langchain.com/docs/integrations/platforms/google[Google Vertex AI and Google Gemini API]{external-link-icon}.
-. `ragstack-ai-langchain[nvidia]` lets you work with https://python.langchain.com/docs/integrations/providers/nvidia/[NVIDIA hosted API endpoints for NVIDIA AI Foundation Models]{external-link-icon}.
+. `ragstack-ai-langchain[google]` lets you work with https://python.langchain.com/docs/integrations/platforms/google[Google Vertex AI and Google Gemini API].
+. `ragstack-ai-langchain[nvidia]` lets you work with https://python.langchain.com/docs/integrations/providers/nvidia/[NVIDIA hosted API endpoints for NVIDIA AI Foundation Models].
 
 Additional LangChain packages should work out of the box, although you need to manage the packages and their dependencies yourself.
 
@@ -26,9 +26,9 @@ LLMs, embeddings, and third-party providers are not included in this package by
 
 To use LLMs, embeddings, or third-party providers, you can leverage `ragstack-ai-llamaindex` extras:
 
-. `ragstack-ai-llamaindex[google]` lets you work with https://docs.llamaindex.ai/en/stable/examples/llm/vertex/[Google Vertex AI]{external-link-icon} and https://docs.llamaindex.ai/en/stable/examples/llm/gemini/[Google Gemini API]{external-link-icon}.
-. `ragstack-ai-llamaindex[azure]` lets you work with https://docs.llamaindex.ai/en/stable/examples/llm/azure_openai/[Azure OpenAI]{external-link-icon}.
-. `ragstack-ai-llamaindex[bedrock]` lets you work with https://docs.llamaindex.ai/en/stable/examples/llm/bedrock/[AWS Bedrock]{external-link-icon}.
+. `ragstack-ai-llamaindex[google]` lets you work with https://docs.llamaindex.ai/en/stable/examples/llm/vertex/[Google Vertex AI] and https://docs.llamaindex.ai/en/stable/examples/llm/gemini/[Google Gemini API].
+. `ragstack-ai-llamaindex[azure]` lets you work with https://docs.llamaindex.ai/en/stable/examples/llm/azure_openai/[Azure OpenAI].
+. `ragstack-ai-llamaindex[bedrock]` lets you work with https://docs.llamaindex.ai/en/stable/examples/llm/bedrock/[AWS Bedrock].
 
 Additional LLamaIndex packages should work out of the box, although you need to manage the packages and their dependencies yourself.
 
diff --git a/docs/modules/ROOT/pages/prerequisites.adoc b/docs/modules/ROOT/pages/prerequisites.adoc
index 8cb01b1e7..fd45103d3 100644
--- a/docs/modules/ROOT/pages/prerequisites.adoc
+++ b/docs/modules/ROOT/pages/prerequisites.adoc
@@ -35,7 +35,7 @@ Automatically created if it doesn't exist.
 | GCP service account JSON
 | `your-project-name-999999-r99b99999999json`
 | Credentials for GCP usage.
-See the https://developers.google.com/workspace/guides/create-credentials#create_credentials_for_a_service_account[GCP documentation^]{external-link-icon}.
+See the https://developers.google.com/workspace/guides/create-credentials#create_credentials_for_a_service_account[GCP documentation^].
 
 | LlamaIndex Cloud API key
 | `llx-...`
diff --git a/docs/modules/ROOT/pages/tests.adoc b/docs/modules/ROOT/pages/tests.adoc
index bfdd3ed99..d74eec35d 100644
--- a/docs/modules/ROOT/pages/tests.adoc
+++ b/docs/modules/ROOT/pages/tests.adoc
@@ -1,6 +1,6 @@
 = RAGStack Tests
 
-The latest RAGStack test reports are available on the https://ragstack-ai.testspace.com/[Testspace dashboard]{external-link-icon}.
+The latest RAGStack test reports are available on the https://ragstack-ai.testspace.com/[Testspace dashboard].
 
 == Why is this important?
 
@@ -8,11 +8,11 @@ Generative AI moves very quickly. The RAGStack test suite is designed to ensure
 
 This thoroughly tested approach allows your enterprise to confidently deploy RAGStack in production without worrying about breaking changes.
 
-For the test source code, see https://github.com/datastax/ragstack-ai/tree/main/libs/e2e-tests[ragstack-e2e-tests]{external-link-icon} GitHub repository.
+For the test source code, see https://github.com/datastax/ragstack-ai/tree/main/libs/e2e-tests[ragstack-e2e-tests] GitHub repository.
 
 == Testspace reports
 
-RAGStack tests are published to https://ragstack-ai.testspace.com/[Testspace]{external-link-icon}.
+RAGStack tests are published to https://ragstack-ai.testspace.com/[Testspace].
 
 Tests are run multiple times daily against DataStax Enterprise (DSE) and vector-enabled {db-serverless} databases.
 
@@ -180,7 +180,7 @@ To navigate from your Testspace Project down to an individual test case, select
 LangSmith tracing currently requires logging into Testspace. We are working on a solution to make these traces publicly available.
 ====
 
-Within individual test cases, https://smith.langchain.com/[LangSmith]{external-link-icon} traces are also available to view.
+Within individual test cases, https://smith.langchain.com/[LangSmith] traces are also available to view.
 
 A LangSmith trace displays the test's entire LLM chain, including the input prompt, the generated response, token spend, and the metadata associated with the response.
 
@@ -194,13 +194,13 @@ query: ' I do not have enough context to rephrase the follow up question "and wh
 
 Testspace provides a number of metrics to help you understand the health of your test suite.
 
-* https://help.testspace.com/dashboard/project-insights#results-strength[Results Strength]{external-link-icon} - measures the stability of results and infrastructure with the `Pass Rate` and `Health Rate` metrics.
+* https://help.testspace.com/dashboard/project-insights#results-strength[Results Strength] - measures the stability of results and infrastructure with the `Pass Rate` and `Health Rate` metrics.
 
-* https://help.testspace.com/dashboard/project-insights#test-effectiveness[Test Effectiveness]{external-link-icon} - measures if tests are effectively capturing side-effects with the `Effective Regression Rate` metric. Measures the percentage of results with unique regressions, including invalid results.
+* https://help.testspace.com/dashboard/project-insights#test-effectiveness[Test Effectiveness] - measures if tests are effectively capturing side-effects with the `Effective Regression Rate` metric. Measures the percentage of results with unique regressions, including invalid results.
 
-* https://help.testspace.com/dashboard/project-insights#workflow-efficiency[Workflow Efficiency]{external-link-icon} - measures if failures are being resolved quickly and efficiently with the `Resolved Failures` and `Failure Resolution Time` metrics.
+* https://help.testspace.com/dashboard/project-insights#workflow-efficiency[Workflow Efficiency] - measures if failures are being resolved quickly and efficiently with the `Resolved Failures` and `Failure Resolution Time` metrics.
 
-For more, see the https://help.testspace.com/dashboard/space-metrics[Testspace docs]{external-link-icon}.
+For more, see the https://help.testspace.com/dashboard/space-metrics[Testspace docs].
 
 === Results
 
diff --git a/docs/modules/colbert/pages/index.adoc b/docs/modules/colbert/pages/index.adoc
index 3e47113f7..eff2bf6e8 100644
--- a/docs/modules/colbert/pages/index.adoc
+++ b/docs/modules/colbert/pages/index.adoc
@@ -2,14 +2,14 @@
 
 ColBERT stands for "Contextualized Late Interaction over BERT".
 
-"Contextualized Late Interaction" describes a unique method of interacting with Stanford University's https://arxiv.org/abs/2004.12832[BERT]{external-link-icon} model.
+"Contextualized Late Interaction" describes a unique method of interacting with Stanford University's https://arxiv.org/abs/2004.12832[BERT] model.
 
 ColBERT is a machine learning retrieval model that improves the computational efficiency and contextual depth of information retrieval tasks.
 
 *TL;DR:*
 
 1. BERT embeds text chunks as matrices of token-level vectors, enabling much deeper context matching than a single vector embedding per chunk.
-2. BERT manages this additional depth by pre-processing documents and queries into uniform lengths with the https://huggingface.co/learn/nlp-course/en/chapter6/6[Wordpiece]{external-link-icon} tokenizer, ideal for batch processing on GPUs.
+2. BERT manages this additional depth by pre-processing documents and queries into uniform lengths with the https://huggingface.co/learn/nlp-course/en/chapter6/6[Wordpiece] tokenizer, ideal for batch processing on GPUs.
 3. "Contextualized Late Interaction" first retrieves the top-k chunks with the highest similarity scores to query tokens.
 The top-k chunks are then sorted again. The query tokens are compared to every token in the chunk to rank the chunks by the highest aggregate similarity score.
 
@@ -50,13 +50,13 @@ A vector index in the database significantly improves the speed of this comparis
 
 == ColBERT, RAGStack, and Astra DB
 
-The https://huggingface.co/colbert-ir/colbertv2.0[ColBERT v2.0]{external-link-icon} library transforms a text chunk into a matrix of token-level embeddings. The output is a 128-dimensional vector for each token in a chunk. This results in a two-dimensional matrix, which doesn't align with the current LangChain interface that outputs a list of floats.
+The https://huggingface.co/colbert-ir/colbertv2.0[ColBERT v2.0] library transforms a text chunk into a matrix of token-level embeddings. The output is a 128-dimensional vector for each token in a chunk. This results in a two-dimensional matrix, which doesn't align with the current LangChain interface that outputs a list of floats.
 
 To solve this problem, the `ragstack-ai-colbert` packages and extras include new classes for mapping token-level embedding vectors to the Astra DB vector database.
 
-The https://github.com/datastax/ragstack-ai/blob/main/libs/colbert/ragstack_colbert/cassandra_vector_store.py#L20C7-L20C27[CassandraVectorStore]{external-link-icon} class extends the `BaseVectorStore` class to store and retrieve vector embeddings generated by ColBERT.
+The https://github.com/datastax/ragstack-ai/blob/main/libs/colbert/ragstack_colbert/cassandra_vector_store.py#L20C7-L20C27[CassandraVectorStore] class extends the `BaseVectorStore` class to store and retrieve vector embeddings generated by ColBERT.
 
-The Contextualized Late Interaction retrieval logic is defined in the https://github.com/datastax/ragstack-ai/blob/main/libs/colbert/ragstack_colbert/colbert_retriever.py[ColbertRetriever]{external-link-icon} class, which asynchronously retrieves and scores chunks.
+The Contextualized Late Interaction retrieval logic is defined in the https://github.com/datastax/ragstack-ai/blob/main/libs/colbert/ragstack_colbert/colbert_retriever.py[ColbertRetriever] class, which asynchronously retrieves and scores chunks.
 
 Together, these classes enable ColBERT to be used with Astra DB and the RAGStack ecosystem. But why expend all this effort to use ColBERT with Astra DB?
 
@@ -79,9 +79,9 @@ Astra DB has fused Asymmetric Distance Computation (ADC) graph traversal that re
 
 On top of these improvements, Astra DB preserves the nonblocking index structure and synchronous, realtime index updates that are the hallmark of Astra’s non-Vector indexes.
 
-DataStax has open-sourced the underlying index technology as https://github.com/jbellis/jvector/[JVector]{external-link-icon}.
+DataStax has open-sourced the underlying index technology as https://github.com/jbellis/jvector/[JVector].
 
 For more on the challenges of vector indexing at scale, see:
 
-* https://stackoverflow.com/questions/2703432/what-are-segments-in-lucene[Segments in Lucene]{external-link-icon}
-* https://thenewstack.io/why-vector-size-matters/[Why Vector Size Matters]{external-link-icon}
+* https://stackoverflow.com/questions/2703432/what-are-segments-in-lucene[Segments in Lucene]
+* https://thenewstack.io/why-vector-size-matters/[Why Vector Size Matters]
diff --git a/docs/modules/default-architecture/pages/generation.adoc b/docs/modules/default-architecture/pages/generation.adoc
index bf00006dd..6be2a3f33 100644
--- a/docs/modules/default-architecture/pages/generation.adoc
+++ b/docs/modules/default-architecture/pages/generation.adoc
@@ -2,7 +2,7 @@
 
 Prompts are the starting point for the LLM generation process. They provide context, set the tone, define objectives, and ultimately shape the quality of the response.
 
-Prompt design is an entire field of its own. See https://www.datastax.com/guides/what-is-prompt-engineering[What is Prompt Engineering in AI and How Does it Work?]{external-link-icon}. 
+Prompt design is an entire field of its own. See https://www.datastax.com/guides/what-is-prompt-engineering[What is Prompt Engineering in AI and How Does it Work?].
 
 In this topic, you can learn how to lay out a starting prompt for a basic RAG pipeline. Then read about the CO-STAR technique that can be used to organize prompts for more complex tasks.
 
diff --git a/docs/modules/examples/pages/flare.adoc b/docs/modules/examples/pages/flare.adoc
index e7a23901b..07dcf5cc6 100644
--- a/docs/modules/examples/pages/flare.adoc
+++ b/docs/modules/examples/pages/flare.adoc
@@ -5,7 +5,7 @@ image::https://colab.research.google.com/assets/colab-badge.svg[align="left",lin
 FLARE is an advanced retrieval technique that combines retrieval and generation in LLMs.
 It enhances the accuracy of responses by iteratively predicting the upcoming sentence to anticipate future content when the model encounters a token it is uncertain about.
 
-For more, see the link:https://github.com/jzbjyb/FLARE/tree/main[FLARE GitHub repository]{external-link-icon}.
+For more, see the link:https://github.com/jzbjyb/FLARE/tree/main[FLARE GitHub repository].
 
 The basic workflow is:
 
@@ -98,9 +98,9 @@ set_verbose(True)
 retriever = vstore.as_retriever()
 
 flare = FlareChain.from_llm(
-    llm=ChatOpenAI(temperature=0), 
+    llm=ChatOpenAI(temperature=0),
     retriever=retriever,
-    max_generation_len=256, 
+    max_generation_len=256,
     min_prob=0.3,
 )
 ----
diff --git a/docs/modules/examples/pages/index.adoc b/docs/modules/examples/pages/index.adoc
index 88fccedc2..6a514674e 100644
--- a/docs/modules/examples/pages/index.adoc
+++ b/docs/modules/examples/pages/index.adoc
@@ -19,7 +19,7 @@ We're actively updating this section, so check back often!
 a| image::https://colab.research.google.com/assets/colab-badge.svg[align="left",link="https://colab.research.google.com/github/datastax/ragstack-ai/blob/main/examples/notebooks/langchain_multimodal_gemini.ipynb"]
 | xref:langchain_multimodal_gemini.adoc[]
 
-| Build a simple RAG pipeline using https://catalog.ngc.nvidia.com[NVIDIA AI Foundation Models]{external-link-icon}.
+| Build a simple RAG pipeline using https://catalog.ngc.nvidia.com[NVIDIA AI Foundation Models].
 a| image::https://colab.research.google.com/assets/colab-badge.svg[align="left",link="https://colab.research.google.com/github/datastax/ragstack-ai/blob/main/examples/notebooks/nvidia.ipynb"]
 | xref:nvidia_embeddings.adoc[]
 
diff --git a/docs/modules/examples/pages/langchain-evaluation.adoc b/docs/modules/examples/pages/langchain-evaluation.adoc
index 3478df805..0822e6e41 100644
--- a/docs/modules/examples/pages/langchain-evaluation.adoc
+++ b/docs/modules/examples/pages/langchain-evaluation.adoc
@@ -248,7 +248,7 @@ The `evaluators` selected above perform different measurements against your LLM
 
 * `cot_qa` instructs the LLM chain to use chain of thought "reasoning" before determining a final verdict. This tends to lead to responses that better correlate with human labels, for a slightly higher token and runtime cost.
 
-For more on Langchain evaluators, see https://docs.smith.langchain.com/evaluation[Evaluation Overview]{external-link-icon}.
+For more on Langchain evaluators, see https://docs.smith.langchain.com/evaluation[Evaluation Overview].
 
 == What's next?
 
diff --git a/docs/modules/examples/pages/langchain_multimodal_gemini.adoc b/docs/modules/examples/pages/langchain_multimodal_gemini.adoc
index 67e128ebf..61a81c895 100644
--- a/docs/modules/examples/pages/langchain_multimodal_gemini.adoc
+++ b/docs/modules/examples/pages/langchain_multimodal_gemini.adoc
@@ -14,7 +14,7 @@ vector database].
 DB Access Token] with Database Administrator permissions.
 * Get your {db-serverless} API Endpoint:
 ** `https://<ASTRA_DB_ID>-<ASTRA_DB_REGION>.apps.astra.datastax.com`
-* Create a https://cloud.google.com/[GCP account^]{external-link-icon} and a https://cloud.google.com/iam/docs/service-account-overview[service account^]{external-link-icon}. Download your service account's GCP credentials as a JSON file. For more on service account authorization, see the https://developers.google.com/workspace/guides/create-credentials#create_credentials_for_a_service_account[GCP documentation^]{external-link-icon}.
+* Create a https://cloud.google.com/[GCP account^] and a https://cloud.google.com/iam/docs/service-account-overview[service account^]. Download your service account's GCP credentials as a JSON file. For more on service account authorization, see the https://developers.google.com/workspace/guides/create-credentials#create_credentials_for_a_service_account[GCP documentation^].
 * Install the following dependencies:
 +
 [source,python]
diff --git a/docs/package-lock.json b/docs/package-lock.json
index 30a40c913..b8c50c30e 100644
--- a/docs/package-lock.json
+++ b/docs/package-lock.json
@@ -1,25 +1,38 @@
 {
-  "name": "ragstack-docs",
+  "name": "ragstack-ai",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
-      "name": "ragstack-docs",
+      "name": "ragstack-ai",
       "dependencies": {
         "@antora/collector-extension": "^1.0.0-alpha.3",
-        "@asciidoctor/tabs": "^1.0.0-beta.5",
-        "@redocly/cli": "^1.2.0",
+        "@asciidoctor/tabs": "^1.0.0-beta.6",
         "antora": "~3.1",
-        "asciidoctor-external-callout": "^1.2.1",
-        "asciidoctor-kroki": "^0.17.0"
+        "asciidoctor-external-callout": "~1.2.1",
+        "asciidoctor-kroki": "~0.18.1",
+        "csv-parser": "^3.0.0",
+        "npm-run-all": "^4.1.5",
+        "tailwindcss": "^3.3.5"
+      }
+    },
+    "node_modules/@alloc/quick-lru": {
+      "version": "5.2.0",
+      "resolved": "https://registry.npmjs.org/@alloc/quick-lru/-/quick-lru-5.2.0.tgz",
+      "integrity": "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==",
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
       }
     },
     "node_modules/@antora/asciidoc-loader": {
-      "version": "3.1.4",
-      "resolved": "https://registry.npmjs.org/@antora/asciidoc-loader/-/asciidoc-loader-3.1.4.tgz",
-      "integrity": "sha512-ttsPR1J6gt7gGiCPrtfKX6tSbCHztzpRP0t+/6m+o3JCwXnjoD+dCi73hp8UCkyS+EU+GTo/FeXclYjZnUMXhQ==",
+      "version": "3.1.7",
+      "resolved": "https://registry.npmjs.org/@antora/asciidoc-loader/-/asciidoc-loader-3.1.7.tgz",
+      "integrity": "sha512-sM/poPtAi8Cx0g2oLGHoEYjTdE9pvIYLgbHW07fGf6c9wQYMd2DMsevtbhNKWp+xqxj/QinToz4JOaNLoy1nfg==",
       "dependencies": {
-        "@antora/logger": "3.1.4",
+        "@antora/logger": "3.1.7",
         "@antora/user-require-helper": "~2.0",
         "@asciidoctor/core": "~2.2"
       },
@@ -27,13 +40,35 @@
         "node": ">=16.0.0"
       }
     },
+    "node_modules/@antora/asciidoc-loader/node_modules/@asciidoctor/core": {
+      "version": "2.2.7",
+      "resolved": "https://registry.npmjs.org/@asciidoctor/core/-/core-2.2.7.tgz",
+      "integrity": "sha512-63cfnV606vXNUnh/zcuUi5e3tY5qTzaYY5pGP4p9sRk8CcCmX4Z8OfU0BkfM8/k2Y7Cz/jZqxL+vzHjrLQa8tw==",
+      "dependencies": {
+        "asciidoctor-opal-runtime": "0.3.3",
+        "unxhr": "1.0.1"
+      },
+      "engines": {
+        "node": ">=8.11",
+        "npm": ">=5.0.0",
+        "yarn": ">=1.1.0"
+      }
+    },
+    "node_modules/@antora/asciidoc-loader/node_modules/unxhr": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/unxhr/-/unxhr-1.0.1.tgz",
+      "integrity": "sha512-MAhukhVHyaLGDjyDYhy8gVjWJyhTECCdNsLwlMoGFoNJ3o79fpQhtQuzmAE4IxCMDwraF4cW8ZjpAV0m9CRQbg==",
+      "engines": {
+        "node": ">=8.11"
+      }
+    },
     "node_modules/@antora/cli": {
-      "version": "3.1.4",
-      "resolved": "https://registry.npmjs.org/@antora/cli/-/cli-3.1.4.tgz",
-      "integrity": "sha512-bLDt10VSOcqsHOM5kubjvx9HfdqzLESWEM4Hv0zOPsG3drXKZM/PkStDj6wVt2J6B4OtruusLH2CETKkd9vfGQ==",
+      "version": "3.1.7",
+      "resolved": "https://registry.npmjs.org/@antora/cli/-/cli-3.1.7.tgz",
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-      "integrity": "sha512-r3vXyErRCYJ7wg28yvBY5VSoAF8ZvlcW9/BwUzEtUsjvX/DKs24dIkuwjtuprwJJHsbyUbLApepYTR1BN4uHrg==",
-      "engines": {
-        "node": ">= 6"
-      }
-    },
-    "node_modules/yaml-ast-parser": {
-      "version": "0.0.43",
-      "resolved": "https://registry.npmjs.org/yaml-ast-parser/-/yaml-ast-parser-0.0.43.tgz",
-      "integrity": "sha512-2PTINUwsRqSd+s8XxKaJWQlUuEMHJQyEuh2edBbW8KNJz0SJPwUSD2zRWqezFEdN7IzAgeuYHFUCF7o8zRdZ0A=="
-    },
-    "node_modules/yargs": {
-      "version": "17.0.1",
-      "resolved": "https://registry.npmjs.org/yargs/-/yargs-17.0.1.tgz",
-      "integrity": "sha512-xBBulfCc8Y6gLFcrPvtqKz9hz8SO0l1Ni8GgDekvBX2ro0HRQImDGnikfc33cgzcYUSncapnNcZDjVFIH3f6KQ==",
-      "dependencies": {
-        "cliui": "^7.0.2",
-        "escalade": "^3.1.1",
-        "get-caller-file": "^2.0.5",
-        "require-directory": "^2.1.1",
-        "string-width": "^4.2.0",
-        "y18n": "^5.0.5",
-        "yargs-parser": "^20.2.2"
+      "version": "2.4.2",
+      "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.4.2.tgz",
+      "integrity": "sha512-B3VqDZ+JAg1nZpaEmWtTXUlBneoGx6CPM9b0TENK6aoSu5t73dItudwdgmi6tHlIZZId4dZ9skcAQ2UbcyAeVA==",
+      "bin": {
+        "yaml": "bin.mjs"
       },
       "engines": {
-        "node": ">=12"
+        "node": ">= 14"
       }
     },
     "node_modules/yargs-parser": {
diff --git a/docs/package.json b/docs/package.json
index d671412d2..e3caa524c 100644
--- a/docs/package.json
+++ b/docs/package.json
@@ -1,23 +1,25 @@
 {
-  "name": "ragstack-docs",
-  "description": "DataStax RAGStack Documentation",
   "private": true,
+  "name": "ragstack-ai",
+  "description": "The content source for RAGStack documentation.",
+  "author": "DataStax Inc.",
+  "homepage": "https://docs.datastax.com",
   "repository": {
     "type": "git",
-    "url": "git+https://github.com/datastax/ragstack-ai.git"
+    "url": "https://github.com/datastax/ragstack-ai.git"
   },
-
   "scripts": {
-    "build:prod:ragstack": "npm run build:publish:ragstack",
-    "build:publish:ragstack": "antora --fetch --clean --stacktrace playbooks/site-publish-ragstack.yaml",
-    "build:local:ragstack": "antora --clean --stacktrace playbooks/site-local-ragstack.yaml"
+    "build:local": "env FORCE_SHOW_EDIT_PAGE_LINK=true antora --clean --stacktrace local-preview-playbook.yml",
+    "tailwindcss": "tailwindcss build -c ./build/site/_/js/tailwind.config.js -i ./build/site/_/css/site.css -o ./build/site/_/css/site.css --minify"
   },
   "dependencies": {
     "@antora/collector-extension": "^1.0.0-alpha.3",
-    "@asciidoctor/tabs": "^1.0.0-beta.5",
-    "@redocly/cli": "^1.2.0",
+    "@asciidoctor/tabs": "^1.0.0-beta.6",
     "antora": "~3.1",
-    "asciidoctor-external-callout": "^1.2.1",
-    "asciidoctor-kroki": "^0.17.0"
+    "asciidoctor-external-callout": "~1.2.1",
+    "asciidoctor-kroki": "~0.18.1",
+    "csv-parser": "^3.0.0",
+    "npm-run-all": "^4.1.5",
+    "tailwindcss": "^3.3.5"
   }
-}
\ No newline at end of file
+}
diff --git a/docs/playbooks/site-publish-ragstack.yaml b/docs/playbooks/site-publish-ragstack.yaml
deleted file mode 100644
index 2aaf7f4f7..000000000
--- a/docs/playbooks/site-publish-ragstack.yaml
+++ /dev/null
@@ -1,85 +0,0 @@
-runtime:
-  log:
-    failure_level: warn
-git:
-  # ensure_git_suffix: false # Enable if necessary -- some git services don’t recognize the URL if it contains the .git extension.
-  fetch_concurrency: 10
-
-site:
-  title: DataStax RAGStack Docs
-  start_page: docs::index.adoc
-  url: https://docs.datastax.com/en/ragstack
-  # The google_analytics and segment_io site keys must be in the release playbook
-  # of each docset. This ensures that the Google Tag Manager (GTM) and Segment
-  # scripts get loaded into the docsets that get published to docs.datastax.com.
-  robots: allow
-  keys:
-    google_analytics: 'GTM-5FSG7Q'
-    segment_io: 'd24gQtyKIUu5mLdkp11xjfiXLhRqx0HH'
-
-content:
-  sources:
-  - url: '~/work/ragstack-ai'
-    branches: HEAD
-    start_path: docs
-
-antora:
-  extensions:
-  - '@antora/collector-extension'
-
-asciidoc:
-  extensions:
-  - '@asciidoctor/tabs'
-  - extensions/remote-include-processor.js
-  - asciidoctor-kroki
-  - asciidoctor-external-callout
-  attributes:
-    # BUILT-IN ATTRIBUTES
-    allow-uri-read: '' # this has no effect in antora, but does help development in Intellij
-    experimental: ''
-    idprefix: ''
-    idseparator: '-'
-    # kroki-fetch-diagram: true
-    # kroki-server-url:
-    max-include-depth: 10
-    page-toclevels: 2@
-    sectlinks: ''
-    page-pagination: ''
-    tabs-sync-option: ''
-    table-caption: false
-    figure-caption: false
-    xrefstyle: short
-    # CUSTOM ATTRIBUTES
-    company: 'DataStax'
-    astra_db: 'Astra DB'
-    astra_stream: 'Astra Streaming'
-    astra_ui: 'Astra Portal'
-    db-cassandra: 'Astra DB Serverless (Non-Vector)'
-    db-vector: 'Astra DB Serverless (Vector)'
-    db-serverless: 'Astra DB Serverless'    
-    support_url: 'https://support.datastax.com'
-    glossary-url: 'https://docs.datastax.com/en/glossary/docs/index.html#'
-    external-link-icon: '&#x2197;'
-
-    # Bsys requires the URLs of the content source repos of the current docset
-    # to be listed as attributes in the site-publish playbook in the form
-    # "<repo-name>: 'ssh://github.com/<org-name>/<repo-name>.git'".
-    ragstack-ai: 'ssh://https://github.com/datastax/ragstack-ai.git'
-
-urls:
-  # redirect_facility: httpd
-  latest_version_segment_strategy: redirect:from
-  latest_version_segment: 'latest'
-
-ui:
-  bundle:
-    url: https://github.com/riptano/antora-ui-docs/releases/latest/download/ui-bundle.zip
-    # url: https://gitlab.com/antora/antora-ui-default/-/jobs/artifacts/HEAD/raw/build/ui-bundle.zip?job=bundle-stable
-    snapshot: true
-
-output:
-  # Bsys requires the output.dir in the site-publish playbook to be specifically
-  # set to "~/work/<repo-name>/build/site". This is because bsys clones the
-  # content source repo into "/work", and then looks for the Antora-generated
-  # site in "build/site" within the repo directory when deploying/syncing.
-  dir: '~/work/ragstack-ai/docs/build/site'