YiChu Go7hic

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.

@kangax's ES6 quiz, explained

@kangax created a new interesting quiz, this time devoted to ES6 (aka ES2015). I found this quiz very interesting and quite hard (made myself 3 mistakes on first pass).

Here we go with the explanations:

Question 1:

(function(x, f = () =&gt; x) {

Keybase proof

I hereby claim:

I am dyygtfx on github.
I am go7hic (https://keybase.io/go7hic) on keybase.
I have a public key whose fingerprint is 093F 4C3C 7FF4 7B9C DC4F D095 8C4E DA4D A4B6 F9F7

To claim this, I am signing this object:

数据结构

数据结构（英语：data structure）是计算机中存储、组织数据的方式。——维基百科

数组(Array)
栈(Stack)
队列(Queue)
链表(Linked List)
集合(Set)
散列表(Hash) 和字典(Map)
树(Tree)

	JavaScript 15 hrs 55 mins █████████████▎░░░░░░░ 63.4%
	JSX 6 hrs 15 mins █████▏░░░░░░░░░░░░░░░ 24.9%
	JSON 1 hr 3 mins ▉░░░░░░░░░░░░░░░░░░░░ 4.2%
	LESS 57 mins ▊░░░░░░░░░░░░░░░░░░░░ 3.8%
	HTML 28 mins ▍░░░░░░░░░░░░░░░░░░░░ 1.9%

	window.companies = [
	{
	"companyId": 35559,
	"companyShortName": "亲宝宝",
	"companyFullName": "杭州点望科技有限公司",
	"companyLogo": "i/image2/M01/CC/83/CgotOVw1nYCAXKG1AACh6SsABbA834.jpg",
	"address": "杭州西湖区紫荆花路2号联合大厦B座3F亲宝宝",
	"location": "120.097822,30.266052",
	"district": "西湖区",
	"financeStage": "C轮",

	var http = require('http');

	/**
	* 读取远程文件
	*
	* @param {String} url
	* @param {Function} cb
	* - {Error} err
	* - {Buffer} buf
	*/

	```
	function deepCopy(p, c) {
	var c = c \|\| {};
	for (var i in p) {
	if (typeof p[i] === 'object') {
	c[i] = (p[i].constructor === Array) ? [] : {};
	deepCopy(p[i], c[i]);
	} else {
	c[i] = p[i];
	}

	手机号码：