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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.
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.
January 2, 2018
Recently, something broke in Homebrew's version of Vim. Several things seemed weird, but what first caught my eye was that misspelled words were no longer highlighted in Markdown files. This is a feature that I have previously configured and I use it often when writing blog posts and such.
Initially, I assumed I had a problem with my Vim settings. After much troubleshooting and no joy, I finally uninstalled Homebrew's version of Vim which caused my system to fall back to the default version of Vim that ships with macOS. Suddenly the highlighting worked fine.
After doing some further research, I decided I would try to compile and install Vim myself. After some googling and patching together a few different articles, this is what worked for me.
