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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.

@ideawu
ideawu / quicksort
Last active June 29, 2021 08:29
快速排序QuickSort算法JavaScript实现, 包括 Hoare 和 Lomuto 版本的实现,以及网友实现版本的对比
<html>
<body>
<script>
// @author: ideawu
// @link: http://www.ideawu.net/blog/archives/1021.html
var swap_count = 0;
var cmp_count = 0;
// https://gist.github.com/wintercn/c30464ed3732ee839c3eeed316d73253
function wintercn_qsort(arr, start, end){
@kejun
kejun / gist:72112e5848f5e3921b0d
Created March 7, 2015 12:14
react + linear partition算法实现的图墙布局
var React = require('react');
var EventListener = require('react/lib/EventListener');
var partition = require('linear-partitioning');
var TileLayout = React.createClass({
getDefaultProps: function() {
return {
gutter: 0,
photos: []
}
@AndreasMadsen
AndreasMadsen / gist:2693051
Created May 14, 2012 10:04
base64 shim [atob, btoa]
// Source: http://code.google.com/p/gflot/source/browse/trunk/flot/base64.js?r=153
/* Copyright (C) 1999 Masanao Izumo <iz@onicos.co.jp>
* Version: 1.0
* LastModified: Dec 25 1999
* This library is free. You can redistribute it and/or modify it.
*/
/*
* Interfaces: