Integrating Notes, WeChat Reading, and Zhihu into Obsidian: Creating My LLM Wiki Knowledge Base
| Source: Dev.to | Original article
Obsidian integrates with LLM-Wiki to create a knowledge hub. It combines notes, readings, and online content.
A new approach to building a personal knowledge hub has emerged, integrating Notes, WeChat Reading, and Zhihu into Obsidian. This development is inspired by Andrej Karpathy's llm-wiki concept, which utilizes large language models (LLMs) to create a self-improving, interlinked wiki from raw sources. The idea is to leverage LLMs to incrementally build and maintain a persistent knowledge base, rather than re-deriving knowledge on every query.
This matters because it enables individuals to organize and connect their notes, readings, and ideas in a more efficient and queryable manner. By using a local LLM, users can maintain control over their data and avoid relying on external services. The Obsidian plugin, LLM Wiki, reads the user's vault, extracts concepts and connections, and allows for natural language queries.
As this development unfolds, it will be interesting to watch how the Obsidian community adopts and refines the LLM-Wiki pattern. With the availability of plugins like LLM Wiki and Karpathy's LLM Wiki implementation, users can expect to see more innovative applications of LLMs in personal knowledge management.
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