justmiles

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.

Self-Hosted Go (Golang) Web Apps

golinks - golinks is a web app that allows you to create smart bookmarks, commands and aliases by pointing your web browser's default search engine at a running instance. Similar to bunny1 or yubnub. (Demo) MIT Go
notes - notes is a self-hosted note taking web app that lets you keep track of your notes and search them in a easy and minimal way. (Demo) MIT Go
pastebin - pastebin is a simple pastebin service with convenient CLI. (Demo) MIT Go
shorturl - shorturl is a simple URL shortener with very tiny URL(s). (Demo) MIT Go
todo - todo is a simple todo manager. (Demo) MIT Go
[wiki](https://git.mills.io/prolog

A curated list of AWS resources to prepare for the AWS Certifications

A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.

	{
	config,
	pkgs,
	options,
	...
	}: let
	hostname = "oatman-pc"; # to alllow per-machine config
	in {
	networking.hostName = hostname;

	export AWS_ORG_CONFIG_FILE_PREFIX=config-
	export AWS_ORG_CREDENTIALS_FILE_PREFIX=credentials-

	awsorg() {
	local org=$1

	if [[ -z "$org" ]]; then
	unset AWS_ORG
	unset AWS_CONFIG_FILE
	unset AWS_SHARED_CREDENTIALS_FILE

	package main

	import (
	"crypto/tls"
	"log"
	"net/http"
	"fmt"

	"golang.org/x/crypto/acme/autocert"
	)

	#!/bin/bash

	# Run this file at the root level of your terraform repo to generate your basic atlantis.yaml file
	# This file is somewhat specific to my needs so it will probably need some tweaking for your own terraform setup

	ATLANTIS_YAML="atlantis.yaml"
	TERRAFORM_VERSION="v0.11.11"
	WORKSPACES="dev tst stg prd"

	touch ${ATLANTIS_YAML}

	function _run_deferred() {
	local _depth="$BASHPID.${#FUNCNAME[@]}"
	[[ "$_depth" != "$_deferred_depth" ]] && return
	local opt=$-
	set +e
	for (( i=${#_deferred[@]} - 1; i >= 0; i-- )); do
	eval "${_deferred[i]}"
	done
	[[ "$opt" == e ]] && set -e
	}

	# How to get ClamAV working on CentOS 7

	yum -y install epel-release && yum -y update
	yum -y install clamav clamav-data clamav-scanner clamav-scanner-systemd clamav-server clamav-server-systemd clamav-unofficial-sigs clamav-update

	# Add /etc/clamd.d/freshclam.conf

	# Add /usr/lib/systemd/system/clamav-freshclam.service

	systemctl enable clamav-freshclam.service && systemctl start clamav-freshclam.service

	-- Create a group
	CREATE ROLE readaccess;

	-- Grant access to existing tables
	GRANT USAGE ON SCHEMA public TO readaccess;
	GRANT SELECT ON ALL TABLES IN SCHEMA public TO readaccess;

	-- Grant access to future tables
	ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT ON TABLES TO readaccess;