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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.

Download VMware ISOs in this repo

Also I would happy if you visit my site with tech tips!: https://hausmer.com

All license keys and activation files have been removed in accordance with GitHub's Terms of Service.

Only official trial installers are available. Bring your own license (BYOL).

	# $language = "python"
	# $interface = "1.0"

	import base64
	import hmac
	import struct
	import sys
	import time

	TOTP_KEY = 'YOUR_GOOGLE_AUTH_KEY'

	import axios from 'axios'
	import qs from 'qs'

	const axiosInstance = axios.create({
	transformRequest: [function(data) {
	return qs.stringify(data);
	}],
	headers:{
	'Content-Type': 'application/x-www-form-urlencoded'
	}

	<!DOCTYPE html>
	<!-- 请把这个文件放到 templates 目录下 -->
	<html>
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
	<title>Wechat</title>
	</head>
	<body>
	{% if alive %}

	{
	"xiaohongshu.com": "小红书",
	"vip.com": "唯品会",
	"douguo.com": "豆果美食",
	"youshu.cc": "有书",
	"missfresh.cn": "每日优鲜",
	"qnr.io": "去哪儿",
	"kaola.com": "网易考拉",
	"waimai.meituan.com": "美团外卖",
	"qcs.meituan.com": "美团打车",

	npm set registry https://r.npm.taobao.org # 注册模块镜像
	npm set disturl https://npm.taobao.org/dist # node-gyp 编译依赖的 node 源码镜像

	## 以下选择添加
	npm set sass_binary_site https://npm.taobao.org/mirrors/node-sass # node-sass 二进制包镜像
	npm set electron_mirror https://npm.taobao.org/mirrors/electron/ # electron 二进制包镜像
	npm set ELECTRON_MIRROR https://cdn.npm.taobao.org/dist/electron/ # electron 二进制包镜像
	npm set puppeteer_download_host https://npm.taobao.org/mirrors # puppeteer 二进制包镜像
	npm set chromedriver_cdnurl https://npm.taobao.org/mirrors/chromedriver # chromedriver 二进制包镜像
	npm set operadriver_cdnurl https://npm.taobao.org/mirrors/operadriver # operadriver 二进制包镜像

	/* display:flex; */
	.flex { display: -webkit-box; display: -moz-box; display: -ms-flexbox; display: -webkit-flex; display: flex; }
	/* for Android 4.3- */
	.flex > * {display: block;}
	/* row reverse */
	.flex.flex--reverse { -webkit-box-orient: horizontal; -moz-box-orient: horizontal; -webkit-box-direction: reverse; -moz-box-direction: reverse; -webkit-flex-direction: row-reverse; -ms-flex-direction: row-reverse; flex-direction: row-reverse; }
	/* column */
	.flex--clo { -webkit-box-orient: vertical; -moz-box-orient: vertical; -webkit-box-direction: normal; -moz-box-direction: normal; -webkit-flex-direction: column; -ms-flex-direction: column; flex-direction: column; }
	/* column reverse*/
	.flex--col.flex--reverse { -webkit-box-orient: vertical; -moz-box-orient: vertical; -webkit-box-direction: reverse; -moz-box-direction: reverse; -webkit-flex-direction: column-reverse; -ms-flex-direction: column-reverse; flex-direction: column-reverse; }

	// http://paulirish.com/2011/requestanimationframe-for-smart-animating/
	// http://my.opera.com/emoller/blog/2011/12/20/requestanimationframe-for-smart-er-animating

	// requestAnimationFrame polyfill by Erik Möller. fixes from Paul Irish and Tino Zijdel

	// MIT license

	(function() {
	var lastTime = 0;
	var vendors = ['ms', 'moz', 'webkit', 'o'];