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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.

@jgillman
jgillman / 1_intro.txt
Last active November 11, 2023 02:33
i3 config from /u/twodogsdave
If this is hard to read in your browser, just copy the text and paste it into your editor.
Turn 'line wrapping' on. :)
This is a 'how to' for anyone interested in a i3 setup and also for anyone currently
using i3 and wants to tweak there setup a little more. I am constantly updating my
i3 config with cool 'stuff.' I hope you enjoy reading and if you use some of the code,
great! I don't know everything and am still learning, too. :)
This is my system settings for i3. Specifically, I use [Manjaro i3](https://forum.manjaro.org/index.php?topic=28022.0).