Building a Dynamic Knowledge Graph with GPT-4 and GitHub Copilot | BioniChaos Development Session
Welcome to this live development session where I dive into creating a dynamic knowledge graph web application using Python, JavaScript, and d3.js. I explore how to leverage GPT-4 and GitHub Copilot to generate and refine code in real-time, aiming to create a single-screen application with minimal reliance on external libraries.
Throughout the session, I troubleshoot common issues, like managing dynamic updates in d3.js, ensuring all text nodes fit correctly, and optimizing the layout for an engaging user experience. Join me as I refine this biomedical data tool, designed to visualize entities and their relationships interactively.
💡 Don’t forget to visit BioniChaos.com to try out the tools I’m developing and share your feedback. Your input is crucial in shaping the future of these applications! If you enjoy this content, please consider supporting me on Patreon to help keep these sessions going.
you can try the prototype at this location: https://bionichaos.com/Knowledge
The tools I develop are available on https://bionichaos.com
You can support my work on / bionichaos
#PythonDevelopment #JavaScript #d3js #GitHubCopilot #GPT4 #KnowledgeGraph #WebDevelopment #BiomedicalData #AI #DataVisualization #SinglePageApplication #BioniChaos
0:00:00 - Introduction and invitation to explore BioniChaos.com
0:00:07 - Getting started with GPT-4 and GitHub Copilot for code development
0:00:30 - Goals for the new application: keeping everything local and avoiding external libraries
0:01:03 - Naming the new application and initial setup challenges
0:01:30 - Dealing with unwanted libraries and focusing on local resources
0:02:05 - Simplifying the setup: Python, JavaScript, and HTML
0:02:30 - Developing a single-screen application with a visible knowledge graph
0:03:06 - Eliminating buttons and enhancing the user experience
0:03:17 - Generating code prompts with GPT-4 and GitHub Copilot
0:04:10 - Regenerating code and addressing library dependencies
0:05:24 - Managing dynamic updates with d3.js for interactive visualizations
0:07:14 - Testing the application with EEG-related text data
0:09:19 - Troubleshooting visual overlaps and refining the graph display
0:11:03 - Adjusting layout and text wrapping for better visualization
0:12:52 - Switching to a tree structure for the knowledge graph
0:15:05 - Ensuring accurate connections and relationships between nodes
0:17:23 - Challenges with dynamic updates and entity repetition
0:19:32 - Further refinement of the visualization logic and appearance
0:22:07 - Addressing loose nodes and non-connected entities
0:25:27 - Ongoing optimization and improving interactivity
0:27:58 - AI co-hosting and quick response enhancements
0:30:30 - Recap of current progress and future improvements
0:34:37 - Final thoughts and closing remarks