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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.

kamend

For some reason, it is surprisingly hard to create a bootable Windows USB using macOS. These are my steps for doing so, which have worked for me in macOS Monterey (12.6.1) for Windows 10 and 11. After following these steps, you should have a bootable Windows USB drive.

1. Download a Windows disc image (i.e. ISO file)

You can download Windows 10 or Windows 11 directly from Microsoft.

2. Identify your USB drive

After plugging the drive to your machine, identify the name of the USB device using diskutil list, which should return an output like the one below. In my case, the correct disk name is disk2.

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#!/bin/bash

#
# SignAndPackageForMAS.sh v1.0.1
#
# Codesign an app bundle and build a signed package ready for submission to the
# Mac App Store
#
# Copyright (c) 2014 Felix Schwarz (@felix_schwarz), IOSPIRIT GmbH (@iospirit)
# 

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#! /bin/bash
# This command converts audio according to the specifications listed in the Spark docs:
#  https://sparkar.facebook.com/ar-studio/learn/documentation/docs/audio
#  mono m4a, 44.1kHz sample rate, 16-bit-depth resolution
# Usage: 
#  convert-audio.sh myaudio.mp3 converted.m4a
# Notes: 
#  Always use m4a for output file type
#  Change "64k" to a higher value to improve bitrate/quality. e.g. 96k 128k 192k

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using com.mindshaft.overtime.collision;
using UnityEngine;

namespace com.mindshaft.overtime.physics {
    public class RaycastCollisionDetection : IEntityCollisionDetection {
        private BoxCollider _collider;
        private Rect _collisionRect;
        private LayerMask _collisionMask;
        private LayerMask _playerMask;

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using System.Collections.Generic;
using System.Text;

namespace UnityEngine.EventSystems
{
	public abstract class PointerInputModule : BaseInputModule
	{
		public const int kMouseId = -1;
		public const int kFakeTouchesId = -2;

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using System;
using System.Collections.Generic;
using UnityEngine.Events;

// interface you implement in your MB to receive events
public interface ICustomHandler : IEventSystemHandler
{
	void OnCustomCode(CustomEventData eventData);
}

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//#define DEBUG_THREADING


using UnityEngine;
using System.Collections;
using System.Threading;
using System.Reflection;


public delegate IEnumerator MonitorCoroutine<T> (CoroutineData<T> data);

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// Adjust dSYM generation
var xcodeProjectPath = Path.Combine(xcodeProjectDir, "Unity-iPhone.xcodeproj");
var pbxPath = Path.Combine(xcodeProjectPath, "project.pbxproj");

var sb = new System.Text.StringBuilder();

var xcodeProjectLines = File.ReadAllLines(pbxPath);
foreach (var line in xcodeProjectLines)
{
	// Remove from OTHER_LDFLAGS

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// by dave @ beesandbombs.tumblr.com >:)

void setup() {
  setup_();
  result = new int[width*height][3];
  result_ = new int[width*height][3];
}

int[][] result, result_;
float time;