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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.

@maggit
maggit / suma_digitos.md
Last active March 1, 2023 01:41
Suma los digitos!

#Suma los digitos! Este archivo de texto tiene un montón de números, el reto es sumar todos los numeros!!!

Ejemplo (si el archivo solo tuviera los siguientes numeros):

  159375
  924
 621
@erichurst
erichurst / database.yml.example mysql2
Created May 9, 2011 02:58
Rails 3 database.yml examples
# MySQL. Versions 4.1 and 5.0 are recommended.
#
# Install the MySQL driver:
# gem install mysql2
#
# And be sure to use new-style password hashing:
# http://dev.mysql.com/doc/refman/5.0/en/old-client.html
development:
adapter: mysql2
encoding: utf8