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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.

@Beyarz
Beyarz / default.txt
Created August 5, 2021 18:56
The Default Username and Password on all Raspberry Pi OS
Raspberry Pi Distributions Username Password
Raspberry Pi OS pi raspberry
DietPi root dietpi
Lakka Linux root root
Kali Linux root toor
OpenELEC root openelec
Arch Linux ARM root root
Debian pi raspberry
LibreELEC root libreelec
OSMC osmc osmc