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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.

Virtual Hosts on nginx (CSC309)

When hosting our web applications, we often have one public IP address (i.e., an IP address visible to the outside world) using which we want to host multiple web apps. For example, one may wants to host three different web apps respectively for example1.com, example2.com, and example1.com/images on the same machine using a single IP address.

How can we do that? Well, the good news is Internet browsers

This Gist has been moved to https://github.com/lbgists/gh-trend.py.

The Best of the Best Practices (BOBP) Guide for Python

A "Best of the Best Practices" (BOBP) guide to developing in Python.

In General

Values

"Build tools for others that you want to be built for you." - Kenneth Reitz
"Simplicity is alway better than functionality." - Pieter Hintjens

Branching

Quick Legend

Description, Instructions, Notes

Instance	Branch

	// Daily Spam Digest for Gmail.
	// Creates a single digest email with deep links to any spam messages you received that day
	// so you can easily check for false positives and retrieve them

	// Usage:
	// 1. Replace EMAIL with your email
	// 2. Create trigger whenever you want to get the email
	// 3. If you set your trigger for the morning, you likely want to edit the date settings so you don't miss any
	function run() {
	const EMAIL = 'username@gmail.com';

	"""
	Upsert gist

	Requires at least postgres 9.5 and sqlalchemy 1.1

	Initial state:

	[]
	Initial upsert:

	server {
	listen 80;
	#listen [::]:80 default_server ipv6only=on;

	## Make site accessible from world web.
	server_name mailwizz.dev www.mailwizz.dev;

	## Log Settings.
	access_log /var/log/nginx/mailwizz.dev_access.log;
	error_log /var/log/nginx/mailwizz.dev_error.log error;

	__author__ = 'breddels'
	"""
	Demonstrates combining Qt and tornado, both which want to have their own event loop.
	The solution is to run tornado in a thread, the issue is that callbacks will then also be executed in this thread, and Qt doesn't like that.
	To fix this, I show how to use execute the callback in the main thread, using a Qt signal/event in combination with Promises.

	The output of the program is:
	fetch page, we are in thread <_MainThread(MainThread, started 47200787479520)>
	response is 191548 bytes, we are in thread <Thread(Thread-1, started daemon 47201018689280)>
	the other thread should fulfil the result to this promise, we are in thread <Thread(Thread-1, started daemon 47201018689280)>

	set -xg PYTHONPATH /opt/eleccion/ $PYTHONPATH
	set -xg PYTHONPATH /opt/operaciones/ $PYTHONPATH
	set -xg GOROOT /usr/local/go $GOROOT
	set -xg PATH /usr/local/go/bin $PATH
	set -xg EDITOR vim $EDITOR

	setenv EDITOR vim

	function l
	ll $argv