Explore the knowledge graph

Prerequisites

• Signed-in knowmind account
• At least some memories with relationships in the Memory Store
• Business plan or higher for advanced Cypher queries in the dashboard
• Basic Cypher (Neo4j query language) for custom queries

Steps

1. 1

   Open the NeoDash dashboard

   From the cockpit under Knowledge Graph, or directly:

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   https://knowmind.de/dashboard/graph

   The dashboard runs as an iframe-embedded NeoDash and connects on first launch to the knowmind Neo4j instance. The first session asks for database credentials.

   Outcome: The NeoDash UI appears with three pre-built cards: client overview, persons per organization, recent relationships.

2. 2

   Set up the connection

   When NeoDash asks for credentials on first launch:

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   Protocol:  neo4j+s
   Hostname:  knowmind.de
   Port:      7687
   Database:  neo4j
   Username:  neo4j
   Password:  (in the cockpit under Profile → Knowledge Graph access)

   Note

   Password reveal in the cockpit currently on request

   The UI to reveal the read-only password under "Profile → Knowledge Graph access" is in the backlog. Until it ships, Business and Enterprise customers receive the password on request through info@schuebeler-consulting.de.

   Outcome: NeoDash establishes a Bolt connection over TLS. A status indicator at the bottom-left says "Connected".

3. 3

   Example: list all persons in the workspace

   Create a new NeoDash card, type Table, with the following Cypher query:

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   MATCH (p:Person)
   WHERE p.tenant_id = $tenantId
   RETURN p.name AS name, p.role AS role, p.email AS email
   ORDER BY name
   LIMIT 50;

   The dashboard fills $tenantId automatically from your session — you do not set it manually.

   Outcome: A table of every Person node in your workspace.

4. 4

   Example: visualize an organization's connections

   Card type Graph:

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   MATCH path = (org:Organization { name: $orgName, tenant_id: $tenantId })
                 -[r*1..2]-(n)
   WHERE n.tenant_id = $tenantId
   RETURN path
   LIMIT 100;

   With r*1..2 the query follows relationships up to two hops. Use the dashboard's parameter field to set $orgName to your client organization's name.

   Outcome: An interactive graph visualization, nodes as circles, edges labeled with the relationship type. Click a node to inspect its properties.

5. 5

   Example: cluster across multiple hops

   For a cluster analysis — which persons, projects and documents are connected within three hops:

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   MATCH path = (start:Person { name: $personName, tenant_id: $tenantId })
                 -[*1..3]-(n)
   WHERE n.tenant_id = $tenantId
   WITH n, count(path) AS paths
   RETURN labels(n)[0] AS type, n.name AS name, paths
   ORDER BY paths DESC
   LIMIT 25;

   Outcome: A ranking of nodes connected within three hops, sorted by path count. Surfaces a person's closer surroundings.

6. 6

   Save and share cards

   NeoDash stores dashboards inside Neo4j itself. To save, click Save in the top-right and enter a dashboard name (e.g. Client overview). Other power users in your workspace will see the dashboard after a reload.

   Outcome: The dashboard appears under Saved Dashboards and is available to every member of your workspace — no separate permissions to set.

Verify the result

Troubleshooting