neo4j · fiquick · Oct 28, 2025 · Oct 30, 2025 · Oct 30, 2025 · Oct 30, 2025
diff --git a/modules/ROOT/content-nav.adoc b/modules/ROOT/content-nav.adoc
@@ -97,12 +97,14 @@ Generic Start
 ** xref:aura-cli/configuration.adoc[Configuration]
 ** xref:aura-cli/migration.adoc[Migration]
 
+* xref:sample-dataset.adoc[Sample dataset (Aura)]
+
 * Dashboards
 ** xref:dashboards/index.adoc[Overview]
-** xref:dashboards/getting-started.adoc[Getting started]
-** xref:dashboards/managing-dashboards.adoc[Managing dashboards]
+** xref:dashboards/create-dashboards-with-ai.adoc[Create dashboards with AI (Aura)]
+** xref:dashboards/create-dashboards-manually.adoc[Create dashboards with Cypher (Desktop & Aura)]
+** xref:dashboards/managing-dashboards.adoc[Managing dashboards (Desktop & Aura)]
 ** xref:dashboards/import.adoc[Import and export]
-** xref:dashboards/ai-dashboards.adoc[AI dashboards]
 ** xref:dashboards/parameters-and-filters.adoc[Parameters and filters]
 ** xref:dashboards/sharing-dashboards.adoc[Sharing dashboards]
 ** xref:dashboards/visualizations/index.adoc[Visualizations]

diff --git a/modules/ROOT/pages/dashboards/ai-dashboards.adoc b/modules/ROOT/pages/dashboards/ai-dashboards.adoc
@@ -1,97 +0,0 @@
-= Creating a dashboard with AI
-
-For AI features to be accessible, an xref:user-management.adoc#_organization_level_roles[organization admin] must enable Generative AI assistance under xref:visual-tour/index.adoc#org-settings[organization settings].
-
-. In the **Create with AI** dialog, you can enter an optional natural language text prompt to let Neo4j create a customized dashboard.
-. Once you are happy with the prompt, **Create** the dashboard.
-
-[NOTE]
-====
-When creating a dashboard with AI, the AI analyzes your link:https://neo4j.com/docs/operations-manual/current/procedures/#procedure_db_schema_visualization[database schema], that is, the node labels and relationship types of your database.
-It cannot read the actual data in your database.
-====
-
-The prompt is processed in the background. 
-The AI analyzes your database schema and tries to come up with useful queries about the data while taking your prompt into account.
-Then it creates a suitable visualization for each query.
-
-If you do not enter a prompt, Neo4j AI will still make use of your database schema and come up with a suitable dashboard.
-
-Note that the following examples might differ when you reproduce them.
-This is due to the nature of how LLM processing works.
-
-
-== Creating a data-focused dashboard
-
-Copy the following prompt or create your own and use it to create a dashboard:
-
-.Prompt for a data-focused dashboard
-[source]
-----
-Create a dashboard on my retail database, giving me an overview over recent top customers, top selling products, currently available stock, a category overview and sales volume per quarter.
-----
-
-The more information you include, the better the result.
-This holds for information about the database itself as well as entities in the data model. 
-
-.Create a data-focused dashboard
-image::dashboards/ai-dashboard-prompt-data-focus.png[]
-
-Here is a sample result:
-
-.A data-focused dashboard
-image::dashboards/ai-dashboard-data-focus.png[]
-
-
-== Creating a visualization-focused dashboard
-
-Copy the following prompt or create your own and use it to create a dashboard:
-
-.Prompt for a visualization-focused dashboard
-[source]
-----
-Create a dashboard with only graph visualizations to analyze my graph.
-----
-
-.Create visualization-focused dashboard
-image::dashboards/ai-dashboard-prompt-visualization-focus.png[]
-
-Here is a sample result:
-
-.A visualization-focused dashboard
-image::dashboards/ai-dashboard-visualization-focus.png[]
-
-
-== Combining data- and visualization focus
-
-Copy the following prompt or create your own and use it to create a dashboard:
-
-.Prompt for a dashboard with both a data and a visualization focus
-[source]
-----
-Create a dashboard with 5 bar charts analyzing products for categories and 5 graph visualizations for these categories.
-----
-
-.Create a dashboard with both a data and a visualization focus
-image::dashboards/ai-dashboard-prompt-dual-focus.png[]
-
-Here is a sample result:
-
-.A dashboard with both a data and a visualization focus (1)
-image::dashboards/ai-dashboard-dual-focus-1.png[]
-
-.A dashboard with both a data and a visualization focus (2)
-image::dashboards/ai-dashboard-dual-focus-2.png[]
-
-== Quality of the data model
-
-AI provides a great starting point, but the quality of your underlying data model still matters. 
-A graph model that has been thought out well leads to a dashboard that yields more meaningful insights.
-AI infers nodes and relationships.
-You can leverage this by using the exact node and relationship identifiers from the schema in your prompts to guide AI towards more relevant charts.
-
-== AI as a starting point
-
-Remember, you can always edit an AI-generated dashboard.
-It is a valid workflow to use AI as a starting point, and then build on it by editing the output - and refining visualizations, colors, and layouts to match your needs.
-

diff --git a/...OOT/pages/dashboards/getting-started.adoc → ...ashboards/create-dashboards-manually.adoc b/...OOT/pages/dashboards/getting-started.adoc → ...ashboards/create-dashboards-manually.adoc
@@ -1,45 +1,20 @@
-= Getting started
+= Create dashboards with Cypher
 :description: This page contains a working example of Neo4j dashboards.
 
+label:Aura-DB[] 
+label:Desktop[]
+
 Set up a working example of Neo4j dashboards.
 
 == Prerequisites
 
 You need:
 
-. A Neo4j Aura account
-. A Neo4j Aura database instance
-
-See xref::/getting-started/create-account.adoc[Create an account] and xref::/getting-started/create-instance.adoc[Create an instance] for details.
+. A database instance
 
 == Add a sample data set
 
-Import the Northwind dataset to your instance:
-
-* In Aura, select **Learning** from the navigation.
-* In the **Beginner** page, select the **Learn the basics** guide.
-* When prompted to **Connect to instance**, select the instance where you would like to import sample data.
-* In step 4 of 11 of the guide, import via **Get the Northwind dataset**.
-* Run the import from the **Import** page via **Run import**.
-
-The examples on this page refer to the Northwind dataset.
-
-[.shadow]
-.Northwind dataset 
-image::northwind-data-set.png[]
-
-== Create a dashboard
-
-Create a new dashboard:
-
-. In the **Dashboards** page, create a new dashboard, either with LLM assistance or from scratch.
-. If prompted to **Connect to instance**, select your instance.
-
-
-=== Creating a dashboard with LLM assistance
-
-See xref::/dashboards/ai-dashboards.adoc[] for details.
-
+Import the Northwind dataset to your instance: https://neo4j.com/docs/getting-started/appendix/example-data/
 
 === Creating a dashboard from scratch
 
@@ -50,7 +25,6 @@ To create a dashboard from scratch:
 . Your dashboard has a single page titled "Main page". To change the name, hover it and then use the more menu *[...]* and **Edit page name**.
 . Use **Add card** to create cards which represent visualizations.
 
-
 ==== Add a card with a bar chart
 
 Create a bar chart which displays the number of orders per customer.
@@ -73,9 +47,6 @@ Your bar chart should look like this:
 .Example bar chart
 image::dashboards/visualizations/visualization-bar-chart.png[]
 
-Alternatively, use xref:/dashboards/visualizations/index.adoc#_natural_language[natural language] to create the query for your bar chart.
-
-
 ==== Add a card with a line chart
 
 Create a line chart which displays the number of product categories by order dates.
@@ -100,8 +71,7 @@ Your line chart should look like this:
 .Example line chart
 image::dashboards/visualizations/visualization-line-chart.png[]
 
-Alternatively, use xref:/dashboards/visualizations/index.adoc#_natural_language[natural language] to create the query for your bar chart.
-
+Alternatively, if you're using Aura, use xref:/dashboards/visualizations/index.adoc#_natural_language[natural language] to create the query for your bar chart.
 
 == Next steps
 

diff --git a/modules/ROOT/pages/dashboards/create-dashboards-with-ai.adoc b/modules/ROOT/pages/dashboards/create-dashboards-with-ai.adoc
@@ -0,0 +1,95 @@
+= Creating a dashboard with AI
+
+For AI features to be accessible, an xref:user-management.adoc#_organization_level_roles[organization admin] must enable Generative AI assistance under xref:visual-tour/index.adoc#org-settings[organization settings].
+
+. In the **Create with AI** dialog, you can enter an optional natural language text prompt to let Neo4j create a customized dashboard.
+. Once you are happy with the prompt, **Create** the dashboard.
+
+[NOTE]
+====
+When creating a dashboard with AI, the AI analyzes your link:https://neo4j.com/docs/operations-manual/current/procedures/#procedure_db_schema_visualization[database schema], that is, the node labels and relationship types of your database.
+It cannot read the actual data in your database.
+====
+
+The prompt is processed in the background. 
+The AI analyzes your database schema and tries to come up with useful queries about the data while taking your prompt into account.
+Then it creates a suitable visualization for each query.
+
+If you do not enter a prompt, Neo4j AI will still make use of your database schema and come up with a suitable dashboard.
+
+Note that the following examples might differ when you reproduce them.
+This is due to the nature of how LLM processing works.
+
+== Creating a data-focused dashboard
+
+Copy the following prompt or create your own and use it to create a dashboard:
+
+.Prompt for a data-focused dashboard
+[source]
+----
+Create a dashboard on my retail database, giving me an overview over recent top customers, top selling products, currently available stock, a category overview and sales volume per quarter.
+----
+
+The more information you include, the better the result.
+This holds for information about the database itself as well as entities in the data model. 
+
+.Create a data-focused dashboard
+image::dashboards/ai-dashboard-prompt-data-focus.png[]
+
+Here is a sample result:
+
+.A data-focused dashboard
+image::dashboards/ai-dashboard-data-focus.png[]
+
+== Creating a visualization-focused dashboard
+
+Copy the following prompt or create your own and use it to create a dashboard:
+
+.Prompt for a visualization-focused dashboard
+[source]
+----
+Create a dashboard with only graph visualizations to analyze my graph.
+----
+
+.Create visualization-focused dashboard
+image::dashboards/ai-dashboard-prompt-visualization-focus.png[]
+
+Here is a sample result:
+
+.A visualization-focused dashboard
+image::dashboards/ai-dashboard-visualization-focus.png[]
+
+
+== Combining data- and visualization focus
+
+Copy the following prompt or create your own and use it to create a dashboard:
+
+.Prompt for a dashboard with both a data and a visualization focus
+[source]
+----
+Create a dashboard with 5 bar charts analyzing products for categories and 5 graph visualizations for these categories.
+----
+
+.Create a dashboard with both a data and a visualization focus
+image::dashboards/ai-dashboard-prompt-dual-focus.png[]
+
+Here is a sample result:
+
+.A dashboard with both a data and a visualization focus (1)
+image::dashboards/ai-dashboard-dual-focus-1.png[]
+
+.A dashboard with both a data and a visualization focus (2)
+image::dashboards/ai-dashboard-dual-focus-2.png[]
+
+== Quality of the data model
+
+AI provides a great starting point, but the quality of your underlying data model still matters. 
+A graph model that has been thought out well leads to a dashboard that yields more meaningful insights.
+AI infers nodes and relationships.
+You can leverage this by using the exact node and relationship identifiers from the schema in your prompts to guide AI towards more relevant charts.
+
+== AI as a starting point
+
+Remember, you can always edit an AI-generated dashboard.
+It is a valid workflow to use AI as a starting point, and then build on it by editing the output - and refining visualizations, colors, and layouts to match your needs.
+
diff --git a/modules/ROOT/pages/dashboards/index.adoc b/modules/ROOT/pages/dashboards/index.adoc
@@ -10,10 +10,29 @@ image::dashboards/dashboard-full.png[]
 
 Neo4j dashboards' main features include:
 
-* Neo4j dashboards are a part of the Aura console experience and are stored automatically in the Neo4j cloud storage.
 * Neo4j dashboards operate directly on your graph data via Cypher queries.
 * Manage and customize your dashboards, dashboard pages and cards.
 * Customize visualizations via settings and their corresponding Cypher query.
 // * Parameterize visualizations or entire dashboards
 // * Apply rule-based styling to your visualizations
-// * Share your dashboards across your team or your company
+// * Share your dashboards across your team or your company
+
+== Create a dashboard
+
+You can create dashboards in two ways:
+
+* *Create with AI (Aura only)*: Use natural language to generate Cypher queries and visualizations automatically. 
+
+// === Creating a dashboard with LLM assistance
+// See xref::/dashboards/ai-dashboards.adoc[] for details.
+
+* *Create with Cypher (Desktop or Aura)*: Write your own Cypher queries to define charts and data relationships.
+
+[NOTE]
+====
+The number of dashboards you can create depends on your Aura tier:
+
+* AuraDB Free: three dashboards
+* AuraDB Professional: 25 dashboards
+* AuraDB Business Critical and Virtual Dedicated Cloud: unlimited dashboards
+====
diff --git a/modules/ROOT/pages/dashboards/managing-dashboards.adoc b/modules/ROOT/pages/dashboards/managing-dashboards.adoc
@@ -1,34 +1,7 @@
 = Managing dashboards
 :description: Create and modify Neo4j dashboards.
 
-In Neo4j Aura, use **Dashboards** under **Tools** in the left-side navigation to access the dashboard page.
-
-[NOTE]
-====
-The number of dashboards you can create depends on your Aura tier:
-
-* AuraDB Free: three dashboards
-* AuraDB Professional: 25 dashboards
-* AuraDB Business Critical and Virtual Dedicated Cloud: unlimited dashboards
-====
-
-
-== Creating a dashboard
-
-If you have no dashboards, select **Create with AI**,  **Create from scratch** or **Import**.
-
-.Create your first dashboard
-image::dashboards/create-first-dashboard.png[]
-
-If you already have a dashboard and want to create another, use either **Import** or **Create** and then **Create from scratch**, or **Create with AI** at the top right.
-
-See xref::/dashboards/ai-dashboards.adoc[] for advice how to create a dashboard via prompt.
-
-**Create from scratch** takes you directly to a new and empty dashboard.
-
-See xref:/dashboards/import.adoc[] to learn more about importing dashboards.
-
-
+Use **Dashboards** under **Tools** in the left-side navigation to access the dashboard page.
 
 == Editing a dashboard
 

diff --git a/modules/ROOT/pages/dashboards/sharing-dashboards.adoc b/modules/ROOT/pages/dashboards/sharing-dashboards.adoc
@@ -1,4 +1,4 @@
-= Sharing dashboards
+= Sharing dashboards (Aura only)
 :description: Share your dashboards with people in your project.
 
 You can share your dashboards with other users in your project.

diff --git a/modules/ROOT/pages/sample-dataset.adoc b/modules/ROOT/pages/sample-dataset.adoc
@@ -0,0 +1,17 @@
+[[Sample-dataset]]
+= Sample dataset (Aura)
+:description: description goes here
+
+The examples in the dashboard documentation refer to the Northwind dataset.
+To import the Northwind dataset to your instance:
+
+* In Aura, select **Learning** from the navigation.
+* In the **Beginner** page, select the **Learn the basics** guide.
+* When prompted to **Connect to instance**, select the instance where you would like to import sample data.
+* In step 4 of 11 of the guide, import via **Get the Northwind dataset**.
+* Run the import from the **Import** page via **Run import**.
+
+[.shadow]
+.Northwind dataset 
+image::northwind-data-set.png[width=600]
+