# git
git config --global http.proxy http://127.0.0.1:7890
git config --global https.proxy http://127.0.0.1:7890
git config --global --unset https.proxy
git config --global --unset http.proxy
# npm
npm config set proxy http://127.0.0.1:7890| # 在这里加上 logging.config 能指定 logback 的配置文件位置 | |
| # 如果 加上 file: 可以指定jar包外根目录的相对文件路径 | |
| logging: | |
| config: file:logback.xml |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.