teebu

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.

teebu

from random import randint

def generate_fr_vat():
    siren = randint(100000000, 999999999)
    key = (12 + 3 * (siren % 97)) % 97
    return 'FR' + str(key) + str(siren)

print(generate_fr_vat())

teebu

/**
 * Checks ABN for validity using the published ABN checksum algorithm.
 * @author Guy Carpenter
 * @license http://www.clearwater.com.au/code None
 * @param  {String|Number} value abn to validate
 * @return {Boolean} Is ABN Valid
 */
function validateABN (value) {

	var weights = [10, 1, 3, 5, 7, 9, 11, 13, 15, 17, 19],

teebu

##########################################
# Helmfile                               #
# How to manage Kubernetes Helm releases #
# https://youtu.be/qIJt8Iq8Zb0           #
##########################################

# Referenced videos:
# - K3d - How to run Kubernetes cluster locally using Rancher k3s: https://youtu.be/mCesuGk-Fks

#########

teebu

<code_scheme name="Airbnb">
  <option name="RIGHT_MARGIN" value="100" />
  <option name="HTML_ATTRIBUTE_WRAP" value="4" />
  <option name="HTML_ELEMENTS_TO_INSERT_NEW_LINE_BEFORE" value="" />
  <option name="HTML_ENFORCE_QUOTES" value="true" />
  <DBN-PSQL>
    <case-options enabled="false">
      <option name="KEYWORD_CASE" value="lower" />
      <option name="FUNCTION_CASE" value="lower" />
      <option name="PARAMETER_CASE" value="lower" />

teebu

# varnish 4.1
sudo yum -y install autoconf automake jemalloc-devel libedit-devel libtool ncurses-devel pcre-devel pkgconfig python-docutils python-sphinx graphviz
curl -s https://packagecloud.io/install/repositories/varnishcache/varnish41/script.rpm.sh | sudo bash
wget --content-disposition https://packagecloud.io/varnishcache/varnish41/packages/el/6/varnish-4.1.10-1.el6.x86_64.rpm/download.rpm
sudo rpm -Uvh varnish-4.1.10-1.el6.x86_64.rpm
/usr/sbin/varnishd -V


# varnish 4
sudo yum -y install autoconf automake jemalloc-devel libedit-devel libtool ncurses-devel pcre-devel pkgconfig python-docutils python-sphinx graphviz

teebu

Download Audio from YouTube

-i - ignore errors

-c - continue

-t - use video title as file name

--extract-audio - extract audio track

teebu

// Output Android Icons.jsx
// 2012 Todd Linkner
// License: none (public domain)
// v1.0 - base file by Todd Linkner
// v1.1 - added support for XXHDPI, XXXHDPI and added PNG to the file selector
//
// This script is for Photoshop CS6. It outputs Android icons of the  
// following sizes from a source PSD at least 512px x 512px
//
// store:

teebu

#!/usr/bin/env bash

# Must be run on an Amazon Linux AMI that matches AWS Lambda's runtime
# As of Nov 23, 2015, this is Amazon Linux AMI 2014.09.2 x86_64 (ami-0c682c64)
#
# Lambda includes ImageMagick 6.7.8-9 preinstalled, so you need to prepend PATH
# with the folder containing these binaries in your Lambda function to ensure
# these newer binaries are used.
#
# imagemagick binary will be in /var/task/imagemagick/bin/convert

teebu

'use strict'

const timeout = ms => new Promise(res => setTimeout(res, ms))

function convinceMe (convince) {
  let unixTime = Math.round(+new Date() / 1000)
  console.log(`Delay ${convince} at ${unixTime}`)
}

async function delay () {