Amed Rodriguez amedrz

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.

How to get the values

Salts

$ rails runner 'Rails.application.config.action_dispatch.tap { |c| p encrypted_cookie_salt: c.encrypted_cookie_salt, encrypted_signed_cookie_salt: c.encrypted_signed_cookie_salt }'

Secret Key Base

OS X Screencast to animated GIF

This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.

Instructions

To capture the video (filesize: 19MB), using the free "QuickTime Player" application:

Different services I can suggest when a non-tech friend or family member asks me how they can cheaply make a website and possibly use it to sell stuff online.

Website Hosting

	# Original Rails controller and action
	class EmployeesController < ApplicationController
	def create
	@employee = Employee.new(employee_params)

	if @employee.save
	redirect_to @employee, notice: "Employee #{@employee.name} created"
	else
	render :new
	end

	# This is an incomplete implementation.
	module MongoMapper
	module NestedAttributes
	def self.included(base)
	base.extend(ClassMethods)
	base.send :include, InstanceMethods
	end

	module ClassMethods
	def accepts_nested_attributes_for(*attr_names)