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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.

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Ubuntu 16.04 Developer Tools Installation

First things first !

sudo apt update
sudo apt upgrade

Standard Developer Tools

sudo apt-get install build-essential git

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Installing V8 on a Mac

Prerequisites

• Install Xcode (Avaliable on the Mac App Store)
• Install Xcode Command Line Tools (Preferences > Downloads)
• Install depot_tools
  • git clone https://chromium.googlesource.com/chromium/tools/depot_tools.git
  • sudo nano ~/.bash_profile
  • Add export PATH=/path/to/depot_tools:"$PATH" (it's important that depot_tools comes first here)

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<?php
    $content = file_get_contents("http://wiki.akosma.com/IPhone_URL_Schemes");
	preg_match_all('/(\w+):\/\//', $content, $matches, PREG_SET_ORDER);
	
	$tmpSchemes = [];
	foreach ($matches as $match) {
		$tmpSchemes[$match[1]] = true;
	}
	
	$schemes = [];