simongong

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.

simongong

function downloadIamge(imageSrc, name) {
    var image = new Image()
    image.setAttribute('crossOrigin', 'anonymous')
    image.onload = function () {
        var canvas = document.createElement('canvas')
        canvas.width = image.width
        canvas.height = image.height

        var context = canvas.getContext('2d')
        context.drawImage(image, 0, 0, image.width, image.height)

simongong

{"lastUpload":"2017-05-31T01:35:50.116Z","extensionVersion":"v2.8.1"}

simongong

/**
 * @param {Object|String} data string or keys of object are named in form of snake
 * @param {number} depth to which level of keys should it process
 * @return {Object|String} string or keys of object are named in form of camel case
 */
exports.snakeToCamel = function(data, depth) {
  if (Util.isObject(data)) {
    if (typeof depth === 'undefined') {
      depth = 1;
    }

simongong

const Util = require('util');

module.exports = function AlpOpenError(message, extra) {
  this.name = this.constructor.name;
  this.message = message;
  this.extra = extra;
};

Util.inherits(module.exports, Error);

simongong

// originally from: http://stackoverflow.com/questions/5796718/html-entity-decode/27385169
function(str) {
  var element = document.createElement('div');
  // regular expression matching HTML entities
  var entity = /&(?:#x[a-f0-9]+|#[0-9]+|[a-z0-9]+);?/ig;
  function decodeHTMLEntities() {
    // find and replace all the html entities
    str = str.replace(entity, function(m) {
      element.innerHTML = m;
      return element.textContent;

simongong

for(var func in module.exports) {
  if (typeof module.exports[func] === 'function') {
    module.exports[func].displayName = func;
  }
}

simongong

module.exports = {
  hasClassName: function(element, name) {
    return new RegExp('(?:^|\\s+)' + name + '(?:\\s+|$)').test(element.className);
  },

  addClassName: function(element, name) {
    if (!this.hasClassName(element, name)) {
      element.className = element.className ? [element.className, name].join(' ') : name;
    }
  },

simongong

function(userAgent, fileName) {
  var suffix = '.zip';
  if(userAgent.indexOf('msie') >= 0 || userAgent.indexOf('chrome') >= 0) {
      return 'attachment; filename=' + encodeURIComponent(fileName) + suffix;
  } else if(userAgent.indexOf('firefox') >= 0) {
      return 'attachment; filename*="utf8\'\'' + encodeURIComponent(fileName)+'"' + suffix;
  } else {
      return 'attachment; filename=' + new Buffer(fileName).toString('binary') + suffix;
  }
}

simongong

<snippet>
  <content><![CDATA[
import React from 'react';

let ${1:componentName} = React.createClass({
  propTypes: {
  },

  getInitialState() {
    return {};