Getting Started Kineviz (formerly GraphXR) is visual analytics platform for exploring the connections in labeled property graphs. Graph data defined as nodes and connected edges with their associated properties is rendered as a visual network that you can navigate, edit, analyze, and save within a Kineviz project. The Kineviz platform is available as either: Kineviz Server, a multi-user browser-based application that supports fast, flexible graph modeling and exploration in secure collaborative project workspaces. Kineviz Desktop, a single-user download that delivers nearly all the functionality of Kineviz Server while running locally on your system. Graph Exploration in Kineviz Projects Each Kineviz project is a workspace where you can import, model and transform graph data, explore and analyze graph patterns, save your work, and share your insights. Since exploring a property graph quickly sparks new questions, the workflow is highly iterative. You will most likely want to simplify or transform the graph, edit or add to the data already in the graph, focus on specific subgraphs, and save and communicate key views of the graph as you go. Basic Graph Workflow Workflow in a Kineviz Project 1. Log in and Create a Project either standalone or connected to a graph database 2. Import Data via Database Query or drag and drop 3. Navigate the Graph 4. Style the Graph: Color, Icon, Size 5. Select nodes, edges, and patterns 6. Edit and Transform the Graph 7. Create Layouts and Geospatial Maps 8. Share, Save and Export graph views and data Kineviz AI Agent Kineviz also includes a built-in AI Agent designed for graph modeling and exploration through AI chat. Learning Resources Use cases and workflows for visual graph modeling and analytics Kineviz Blogs Kineviz Videos playlist. FAQ (Frequently Asked Questions).