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Lukas Peyer peyerluk

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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.

@kfox
kfox / README.md
Last active April 10, 2026 07:19
TCP echo server for Node.js

TCP echo server for Node.js

Usage

  1. Make sure you have a modern-ish version of Node.js installed.
  2. Type npx https://gist.github.com/kfox/1280c2f0ee8324067dba15300e0f2fd3
  3. Connect to it from a client, e.g. netcat or similar: nc localhost 9000
@clarkdave
clarkdave / vows-phantom.js
Created November 24, 2011 10:43
Testing with Vows and PhantomJS
var phantom = require('phantom'),
vows = require('vows'),
assert = require('assert');
// nesting tests inside phantom callback so we only
// have to create it once
phantom.create(function(ph) {
var get_page_result = function(url, fn, result) {
ph.createPage(function(page) {