Al Johri AlJohri

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.

ffmpeg

Converting Audio into Different Formats / Sample Rates

Minimal example: transcode from MP3 to WMA:
ffmpeg -i input.mp3 output.wma

You can get the list of supported formats with:
ffmpeg -formats

You can get the list of installed codecs with:

kvz: "I'm recommending these Mac apps to a colleague who's losing his OSX virginity: https://gist.github.com/1372883. Anything you think I should add?"

Don't forget to look at the suggestions at the bottom, there's some cool stuff in there.

Essential

1Password - password manager. intergrates with Dropbox & all main webbrowsers so you'll never lose a password again
Dropbox - a free 2GB folder in your homedir that stays in sync with all the devices you also install it on (linux/windows/mac/ipad/iphone/etc). Useful for backup, collaboration (share 1 folder with others), and keeping important documents with you.
Chrome - browsing
Colloquy - IRC

	import os
	import sys
	import bencodepy
	import humanize
	import argparse


	def total_size_files_torrent(file_name):
	try:
	parsed = bencodepy.decode_from_file(file_name)

	#!/usr/bin/env bash
	curl https://s3.amazonaws.com/heroku-jvm-buildpack-vi/vim-7.3.tar.gz --output vim.tar.gz
	mkdir vim && tar xzvf vim.tar.gz -C vim
	export PATH=$PATH:/app/vim/bin

	from flask import Flask

	app=Flask(__name__)

	@app.route('/')
	def index():
	return """
	<span id="now">loading<span>
	<script type="text/javascript">
	window.WebSocket=window.WebSocket \|\| window.MozWebSocket \|\| false;