flyisland

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.

flyisland

#! /usr/bin/env python3

#The MIT License (MIT)
#
#Copyright <2022> <Alexandre Maia Godoi>
#
#Permission is hereby granted, free of charge, to any person obtaining a copy of
#this software and associated documentation files (the “Software”), to deal in
#the Software without restriction, including without limitation the rights to
#use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies

flyisland

const journal = document.querySelector("ol.journal");
const head = journal.querySelector("li.head p")
const checkHead = document.createElement('span');
checkHead.className = "flag"
checkHead.textContent = 'X';
head.insertBefore(checkHead, head.firstChild);

function handleCheckboxChange(event) {
  if (event.target.checked) {
    event.target.parentNode.style.backgroundColor = 'lightgreen';

flyisland

rom rembg import remove
from PIL import Image
input = Image.open('1.png')
output = remove(input)
output.save('output.png')