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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.

@banyudu
banyudu / free-docker-space-in-wsl2.blog.md
Last active March 20, 2026 12:07
WSL2 Docker释放磁盘空间

WSL2 Docker释放磁盘空间

Docker使用久了,会残留很多中间生成的镜像,占用磁盘空间。

要清理Docker镜像,本来是挺简单的,一条命令就搞定了:

@CodFrm
CodFrm / db.php
Last active August 21, 2018 07:05
php db
<?php
/**
*============================
* author:Farmer
* time:2017/11/20
* blog:blog.icodef.com
* function:数据库查询
*============================
*/
@rxaviers
rxaviers / gist:7360908
Last active April 7, 2026 22:39
Complete list of github markdown emoji markup

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