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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.

@narutaro
narutaro / Nerdtree in docker container.md
Last active February 14, 2019 01:17
Nerdtree in docker container

Nerdtree in docker container

Symptom

  • In the tree view of nerdtree, you see ?~V? instead of arrow shape.

Possible reason

  1. vim is not installed but vi
  2. The locale setting is wrong

Solutions

@wdullaer
wdullaer / install.sh
Last active March 11, 2026 09:02
Install Latest Docker and Docker-compose on Ubuntu
# Ask for the user password
# Script only works if sudo caches the password for a few minutes
sudo true
# Install kernel extra's to enable docker aufs support
# sudo apt-get -y install linux-image-extra-$(uname -r)
# Add Docker PPA and install latest version
# sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys 36A1D7869245C8950F966E92D8576A8BA88D21E9
# sudo sh -c "echo deb https://get.docker.io/ubuntu docker main > /etc/apt/sources.list.d/docker.list"