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LLM Wiki

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.

The core idea

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.

@guweigang
guweigang / git_toturial
Last active August 19, 2026 07:40
git命令大全
git init # 初始化本地git仓库(创建新仓库)
git config --global user.name "xxx" # 配置用户名
git config --global user.email "xxx@xxx.com" # 配置邮件
git config --global color.ui true # git status等命令自动着色
git config --global color.status auto
git config --global color.diff auto
git config --global color.branch auto
git config --global color.interactive auto
git config --global --unset http.proxy # remove proxy configuration on git
git clone git+ssh://git@192.168.53.168/VT.git # clone远程仓库
@rxaviers
rxaviers / gist:7360908
Last active August 19, 2026 17:06
Complete list of github markdown emoji markup

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