Overview

KG-UI is an innovative knowledge graph user interface designed specifically for Neo4j knowledge graph databases, making it a valuable tool for bioinformatics applications. With its intuitive design and robust capabilities, it provides users the resources they need to effectively manage and interact with complex datasets.

Whether you’re a researcher looking to harness the power of knowledge graphs or a developer seeking to integrate this technology into your applications, KG-UI offers an accessible starting point with its comprehensive Jupyter notebooks that guide users through various processes, from creating assertions to setting up the interface.

Features

• User-Friendly Interface: KG-UI simplifies the interaction with Neo4j databases, providing a clean and intuitive layout for easier navigation and data manipulation.
• Comprehensive Tutorials: The included Jupyter notebooks cover essential topics such as Cypher language, assertions creation, and user interface setup, making it easy for users of all skill levels to get started.
• Local Deployment: Running the interface locally is straightforward, requiring simple commands to launch the application for immediate access via a web browser.
• Kubernetes Installation: Seamlessly deploy KG-UI with Kubernetes, enabling users to scale their operations efficiently and manage containerized applications with ease.
• Customization Options: Users can tailor the user interface to fit their specific needs, with detailed examples provided for various customization options.
• Video Tutorials Available: A series of video tutorials help users visualize key concepts and practices, making learning more engaging and effective.