Neo4j Live: From Text to Insights with Dashboards on Aura

Are you ready for a new way to build dashboards with your graph data? Are you tired of switching contexts between query writing and visualization? In this session, we’ll explore how Neo4j Aura uses AI to streamline the dashboard creation process – turning natural language prompts into Cypher queries and visual components, all in one flow.

Expect a hands-on look at:
– How to generate dashboards using natural language
– The mechanics behind prompt interpretation, query generation and visualization
– Tips for combining visual tools with your knowledge graph

Whether you’re prototyping graph-backed apps, exploring knowledge graphs, or just want to see how AI can reduce friction in your workflow, this session is for you.

Guests: Niels de Jong
https://www.linkedin.com/in/nielsdjong/
Blog: https://neo4j.com/blog/auradb/neo4j-dashboards/

0:00 – Welcome & Guest Introduction
3:27 – Building a Full Neo4j Analytics Workflow
8:19 – Use Case: Visualizing Your Spotify Playlist as a Graph
13:42 – Importing CSV Data with AI-Generated Graph Model
20:43 – Exploring the Graph in Neo4j Bloom (Explore)
23:14 – Creating a Dashboard with AI in Aura
31:25 – Graph Data Science: Playlist Recommendations with FastRP & K-Means
36:56 – Interactive Dashboards with Filters & Parameters
43:30 – Bonus: Using AI to Enrich Data with Instrument Tags

#neo4j #graphdatabase #dashboard #aura #genai #knowledgegraph #insight