We all know the struggle. You're drowning in massive amounts of unstructured data, trying to make sense of the complex web of relationships hidden within.
That's where TrustGraph's Data Workbench 3D visualizer comes in. Forget clunky interfaces and limited perspectives. We're bringing the power of 3D visualization to your data analysis, giving you an intuitive, immersive, and interactive way to uncover hidden patterns and relationships.
Why 3D Matters for AI Developers
Everyone knows the power of GraphRAG. But everyone also knows the limitations of data visualizations in 2D. With 3D, you can:
- Uncover Hidden Relationships: In a 2D graph, nodes can clutter the screen, obscuring vital connections. 3D lets you see the true depth of your data, revealing relationships you might otherwise miss.
- Intuitive Navigation: Our brains are wired to understand spatial relationships. Navigating a 3D visualization is naturally more intuitive than panning and zooming across a flat surface.
- Enhanced Understanding: The spatial layout of nodes in 3D can reveal clusters, hierarchies, and anomalies that are hard to spot in only 2D.
- Interactive Data: Let’s be honest, a 3D visualization looks cool! Impress stakeholders with compelling and interactive visualizations that show the hidden gems of wisdom in your data.
Getting Started: Your 3D Data Journey
Before we can use the 3D visualizer, we must first deploy TrustGraph.
Step 1: Setting Up (If you haven't already)
Navigate to Configuration Portal to select all the components for your build.
Follow all the instructions on the Finish Deployment tab get TrustGraph running. The Data Workbench will be accessible at port 8888.
Step 2: Data Ingestion
Navigate to the Data Workbench now running on port 8888. Use the Data Loader 📂 to upload your documents. TrustGraph supports .pdf, .txt, and .md files. The data extraction agents will automatically process the files, extracting key information to build the knowledge graph and vector embeddings.
Step 3: Query the Data through AI Chat
No need for Cypher or SPARQL queries! Once your data is processed, you can perform GraphRAG queries with natural language in the System Chat.
The System Chat will query both the knowledge graph and vector embeddings to generate a response. In addition, the Data Workbench will display a set of nodes from the knowledge graph on the left side of the screen. Clicking any one of these nodes will allow you to explore semantic relationships.
Step 4: Exploring Your Data in 3D
Now comes the fun part! Once you’ve selected a node, you can generate a 3D visualization by either clicking GRAPH VIEW in the Data Explorer window or by simply clicking Data Visualizer from the Data Workbench set of tools.
Once in the 3D visualizer, you can interact with the data:
- Zoom, Pan, and Rotate: Use your mouse to explore the space. Zoom in to examine clusters in detail or rotate to gain a new perspective on relationships.
- Click and Drag: Click and drag on an individual node to reshape the graph.
- Node Exploration: Click on individual nodes to see additional related nodes.
- Relationship Explorer: Click on a relationship connecting two nodes to see a pulse travel, depicting the directionality of the semantic relationship.
Ready to Explore Your Data in 3D?
Ditch analysis in 2D, embrace the third dimension, and unlock the hidden potential of your unstructured data with TrustGraph’s 3D Visualizer.
Give it a try today! Include the Data Workbench through the Configuration Portal in your build and experience the future of data analysis.
We're excited to see how you leverage this powerful tool to push the boundaries of AI! Join the TrustGraph community to push data analysis to the future!
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