In this tutorial, the InfraNodus browser extension is demonstrated, showing how it visualizes content from web pages, YouTube videos, or PDF documents as a Knowledge Graph. This extension helps analyze the structure and connectivity of the content, allowing users to navigate and explore main topics and their relationships. The extension also uses GPT-4 AI to generate summaries, research questions, and ideas based on the selected parts of the Knowledge Graph.
The video begins with instructions on installing the extension from the Chrome Web Store, Firefox add-on store, or via a special link for Safari users. After installation, users are guided through setting up the extension, including choosing the GPT-4 model for more detailed analysis. The tutorial then demonstrates how to use the extension on a YouTube video, showing how to visualize the video’s content as a graph, identify main concepts, and navigate to specific parts of the video. The extension allows users to generate summaries and research questions, which can be saved for further exploration.
The video also covers advanced features such as filtering topics, hiding less relevant concepts, and exploring gaps between topics to generate new ideas. Additionally, the extension can perform searches on YouTube based on selected concepts, providing a broader context for the topics of interest. Users can also interact with the graph through a chat interface or copy parts of the graph for use in other applications. The tutorial concludes with a demonstration of exporting analyzed content to InfraNodus and using the extension’s various tools to enhance research and learning.