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Noah Lehmann-Haupt noahlh

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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.

@sogko
sogko / app.js
Last active April 8, 2026 08:50
gulp + expressjs + nodemon + browser-sync
'use strict';
// simple express server
var express = require('express');
var app = express();
var router = express.Router();
app.use(express.static('public'));
app.get('/', function(req, res) {
res.sendfile('./public/index.html');
var gulp = require('gulp');
var concat = require('gulp-concat');
var stylus = require('gulp-stylus');
gulp.task('styles', function() {
gulp.src('./bower_components/bootstrap/dist/css/bootstrap.css')
.pipe(concat('vendor.css'))
.pipe(gulp.dest('./public'))
gulp.src('./assets/**/*.styl')
@marcedwards
marcedwards / high-dpi-media.css
Last active April 22, 2026 09:38
A CSS media query that captures almost all high DPI aware devices.
/* ---------------------------------------------------------- */
/* */
/* A media query that captures: */
/* */
/* - Retina iOS devices */
/* - Retina Macs running Safari */
/* - High DPI Windows PCs running IE 8 and above */
/* - Low DPI Windows PCs running IE, zoomed in */
/* - Low DPI Windows PCs and Macs running Firefox, zoomed in */
/* - Android hdpi devices and above */