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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.

@saelo
saelo / decorator.go
Created March 8, 2015 19:45
Decorators in Go
package main
import (
"fmt"
"reflect"
)
func Decorate(impl interface{}) interface{} {
fn := reflect.ValueOf(impl)
@ck-on
ck-on / ocp.php
Last active March 4, 2026 04:51
OCP - Opcache Control Panel (aka Zend Optimizer+ Control Panel for PHP)#ocp #php #opcache #opcode #cache #zend #optimizerplus #optimizer+
<?php
/*
OCP - Opcache Control Panel (aka Zend Optimizer+ Control Panel for PHP)
Author: _ck_ (with contributions by GK, stasilok)
Version: 0.1.7
Free for any kind of use or modification, I am not responsible for anything, please share your improvements
* revision history
0.1.7 2015-09-01 regex fix for PHP7 phpinfo
0.1.6 2013-04-12 moved meta to footer so graphs can be higher and reduce clutter