Andrea Gallegati andreagalle

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.

Workbench

We extract our test repos from this small Zip file.

main is a "container" repository with its working copy,
plugin is a "shared" repository with its working copy,
remotes emulates remote bare repos for both, to better resemble regular usage.

The idea is to use plugin as a subtree of main in a vendor/plugins/demo path, and allow maintenance both ways:

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

	package PasswordEncryption;

	/**
	*
	* @author daniel
	*/
	import java.io.Console;
	import java.io.IOException;
	import java.security.*;
	import java.io.ByteArrayOutputStream;


	" Ensure correct syntax highlighting and auto-indentation for Fortran free-form
	" source code.
	let fortran_free_source=1
	let fortran_do_enddo=1
	filetype plugin indent on
	syntax on

	" Turn on line numbers and row/column numbers.
	set nu

	%matplotlib inline

	filename = 'vtk-plot_0.vtk'

	import vtk
	from numpy import zeros
	import matplotlib.pyplot as plt

	reader = vtk.vtkUnstructuredGridReader()
	reader.SetFileName(filename)

	#!/bin/bash

	# @link https://gist.github.com/mattscilipoti/8424018
	#
	# Called by "git push" after it has checked the remote status,
	# but before anything has been pushed.
	#
	# If this script exits with a non-zero status nothing will be pushed.
	#
	# Steps to install, from the root directory of your repo...