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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.

#
# GistID: f5a40eebadc92da925e2eff0264df6b5
#
#
######################################################################
# thinkfan 0.7 example config file
# ================================
#
# ATTENTION: There is only very basic sanity checking on the configuration.
# That means you can set your temperature limits as insane as you like. You
# GistID: 51effdd4157d7fd3848293826fe2a267
# GRUB boot loader configuration
GRUB_DEFAULT=0
GRUB_TIMEOUT=5
GRUB_DISTRIBUTOR="Arch"
# leaving acpi_osi= blank below,
# resolved brightness control in T430:
GRUB_CMDLINE_LINUX_DEFAULT="quiet acpi_osi="
#jan 2018, for T430's backlight keybinds