Operational Guidelines for Building a Personal Knowledge Base
Core is used as a memory storage tool to effectively structure fragmented knowledge. Below are the steps to realize it:
- Initialization settings: Follow the installation process to configure the local environment or register for cloud services, it is recommended that beginners prioritize the use of the web side
- Knowledge entry: Paste the learning content directly in the dashboard input box, the system will automatically generate nodes with timestamps, it is recommended to enter 200-500 words at a time.
- Atlas Optimization: Manually drag and drop the associated nodes on the Graph page, e.g. connect the "Machine Learning Fundamentals" and "Neural Networks" nodes.
- maintenance: Weekly review of keywords using the search function to remove redundant nodes and merge similar content
Advanced Tip: Set up automation rules through User Rules to automatically save Q&A content when learning with ChatGPT, forming "question-answer" knowledge pairs.
This answer comes from the articleCore: a tool for personalized memory storage for large modelsThe
May not be reproduced without permission:AI productivity tools " How to realize building a personal knowledge base with Core to enhance learning?
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