Dr J janlukasschroeder

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.

How we incorporate next and cloudfront (2018-04-21)

Feel free to contact me at [email protected] or tweet at me @statisticsftw

This is a rough outline of how we utilize next.js and S3/Cloudfront. Hope it helps!

It assumes some knowledge of AWS.

	<!DOCTYPE html>
	<html>
	<head>
	<title>2nd Factor Authentication</title>
	<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
	<meta http-equiv="X-UA-Compatible" content="IE=edge">
	<style type="text/css">

	html, body { padding: 0; margin: 0; }

	# Gist example of IB wrapper ...
	#
	# Download API from http://interactivebrokers.github.io/#
	#
	# Install python API code /IBJts/source/pythonclient $ python3 setup.py install
	#
	# Note: The test cases, and the documentation refer to a python package called IBApi,
	# but the actual package is called ibapi. Go figure.
	#
	# Get the latest version of the gateway:

	from __future__ import print_function

	import datetime
	import json

	import httplib2
	from apiclient import discovery
	from oauth2client import client
	from oauth2client import tools
	from oauth2client.file import Storage

	var express = require('express');
	var app = express();
	var fs = require('fs');

	app.listen(3000, function() {
	console.log("[NodeJS] Application Listening on Port 3000");
	});

	app.get('/api/play/:key', function(req, res) {
	var key = req.params.key;

	-- @desc: The fastest, type-agnostic way to copy a Redis key
	-- @usage: redis-cli --eval copy_key.lua <source> <dest> , [NX]

	local s = KEYS[1]
	local d = KEYS[2]

	if redis.call("EXISTS", d) == 1 then
	if type(ARGV[1]) == "string" and ARGV[1]:upper() == "NX" then
	return nil
	else

	#!/usr/bin/env python
	"""
	Very simple HTTP server in python (Updated for Python 3.7)

	Usage:

	./dummy-web-server.py -h
	./dummy-web-server.py -l localhost -p 8000

	Send a GET request:

Dr J janlukasschroeder

LLM Wiki

The core idea

How we incorporate next and cloudfront (2018-04-21)

Goals