Ray mithyer

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.

Note

Apple will reject apps that are using private url schemes (Ugh, Apple....) if they are pretty much obvius. Some apps are rejected and others are not, so, be aware of this issue before implementing any of those URL's in your app as a feature.

Updates

[UPDATE 4] iOS 10 update: apparently settings now can be reached using App-Pref instead of prefs
~~[UPDATE 3] For now you just can use url schemes to open your apps's settings with Swift 3.0 (Xcode 8). I'll keep you informed when OS preferences can be reached~~
~~[UPDATE 2] The openURL() method of UIApplication is now deprecated. You should use application(_:open:options:) instead~~
~~[UPDATE 1] Not yet tested in iOS 10. It will fail because of policies changes in URL scheme handling.~~

	import Foundation

	// Inspired by https://gist.github.com/mbuchetics/c9bc6c22033014aa0c550d3b4324411a

	struct JSONCodingKeys: CodingKey {
	var stringValue: String

	init?(stringValue: String) {
	self.stringValue = stringValue
	}