Obsidian for Knowledge Graphs
DataHubHouse suggests ditching folders for Obsidian knowledge graphs to build a second brain [https://x.com/i/status/2032161623964827940]. Notes become nodes/links to reveal insights (e.g., AI Agent → RAG).
DataHubHouse is suggesting using Obsidian, a popular note-taking app, to create knowledge graphs as a substitute for traditional folder systems, to better organize information. This approach aims to build a "second brain" by turning individual notes into interconnected nodes and links, allowing users to uncover relationships between concepts, such as the connection between AI Agents and Retrieval Augmented Generation (RAG). Obsidian's functionality allows users to visualize the connections between notes through a graph view, where notes become nodes and links become edges. The size of the nodes can reflect their degree centrality, indicating the number of connections a note has, while color-coding can represent other metrics like betweenness or closeness. This visual representation helps users navigate and explore the relationships within their knowledge base. The use of Obsidian for knowledge graphs facilitates a more dynamic and interconnected way of thinking, allowing users to identify patterns and insights that might be missed with traditional linear note-taking. By connecting seemingly unrelated ideas, users can gain a meta-perspective and foster a deeper understanding of their knowledge. This approach can also be integrated with AI systems to identify conceptual links and automate the discovery of connections within the knowledge base. DatahubHouse is a consultancy specializing in data strategy, engineering, governance, analytics, and AI, serving clients across various industries. Their mission is to empower organizations to harness the full potential of their data, driving innovation, operational excellence, and strategic growth. They advocate for knowledge graphs to leverage the relationships between data points.
