ociule

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.

Shortcut for OSX dock to run irssi in tmux with iTerm2

Synopsis

I run irssi inside a tmux session on OSX. I often close the terminal as I usually get notified by growl about important stuff. I don't want to open a terminal and write a command every time I want to check IRC.

The solution

1. Create a shell script with the following content

#!/bin/zsh
/usr/local/bin/tmux attach -d -t irssi || /usr/local/bin/tmux new -s irssi irssi

	#!/usr/bin/env python
	"""
	simple example script for running and testing notebooks.

	Usage: `ipnbdoctest.py foo.ipynb [bar.ipynb [...]]`

	Each cell is submitted to the kernel, and the outputs are compared with those stored in the notebook.
	"""
	# License: Public Domain, but credit is nice (Min RK).