LLM Knowledge Bases
Why I'm rebuilding how my team captures knowledge — and why an LLM is doing most of the work.
When Andrej Karpathy shared his approach to LLM-powered personal knowledge bases, something clicked. Not because the idea was entirely novel — knowledge management has been a cottage industry for decades, from Zettelkasten cards to Confluence wikis to Notion databases. What struck me was the specific inversion he described: the LLM doesn't just query your knowledge, it authors and maintains it. That distinction matters enormously, especially in fintech, where the gap between raw data and structured understanding is both large and expensive.
I've spent the last several weeks designing a version of this system for my own work — a knowledge base sitting at the intersection of payments infrastructure, regulatory compliance, and emerging AI tooling in financial services. Here's what I've found, what I'm building with, and why I think this approach genuinely outperforms every knowledge capture method I've used before.