Skip to content

Instantly share code, notes, and snippets.

View mattjstar's full-sized avatar

Matthew Star mattjstar

  • Fathom
  • Philadelphia, PA
View GitHub Profile

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.

@fdecampredon
fdecampredon / partial-server-side.js
Last active April 22, 2022 07:48
Partial server side rendering with react
import React, { Component, PropTypes } from 'react';
import { Route, IndexRoute, Link } from 'react-router';
const styles = {
app: {
display: 'flex',
justifyContent: 'center',
},
sideBar: {
marginRight: 10,
@yoavniran
yoavniran / ultimate-ut-cheat-sheet.md
Last active March 21, 2026 02:30
The Ultimate Unit Testing Cheat-sheet For Mocha, Chai, Sinon, and Jest