Karpathy's LLM Wiki - Full Beginner Setup Guide

How to build Karpathy's LLM Wiki. There's a smarter way to use AI with your documents, and it comes from one of the biggest names in the field -- Andrej Karpathy. In this video, I'll show you exactly how to build your own LLM Wiki step by step using Obsidian and Claude Code, so your AI actually remembers and connects everything you feed it. Most AI tools use something called RAG, which means every time you ask a question, the AI searches your documents from scratch. Nothing is saved, nothing builds up. Karpathy's LLM Wiki flips that by having the AI read your documents once and build a structured, interlinked knowledge base out of them. When you add new sources, the wiki grows and gets smarter. In this tutorial, I walk you through the full setup -- creating your Obsidian vault, setting up the folder structure, writing the schema file, ingesting your first documents, and even linting the wiki to keep it healthy. No coding experience needed. Timestamps: 0:00 Intro 1:00 What is RAG and why it falls short 1:51 How the LLM Wiki fixes the problem 2:40 Karpathy's analogy -- Obsidian, LLM, and the wiki 2:59 The three layers of the system 3:54 Setting up Obsidian and the folder structure 5:50 Creating the schema file (CLAUDE.md) 8:03 Installing the Obsidian Web Clipper 8:12 Ingesting your first source document 10:23 Exploring the wiki and graph view 10:42 Adding a second source and watching it update 11:31 Asking cross-source questions 11:57 Linting your wiki for quality 12:52 Use case ideas for students, teachers, and businesses 13:43 Limitations to keep in mind 14:39 Wrap up and next steps Obsidian: https://obsidian.md CLAUDE.md Schema Template: https://go.teachers.tech/LLM_Wiki_CLAUDE Claude Code Beginner's Guide: https://youtu.be/s-Mc26Ytz10 Subscribe: https://www.youtube.com/@TeachersTech?sub_confirmation=1 Website: https://www.teachers.tech Instagram: https://www.instagram.com/teacherstechlab LinkedIn: https://www.linkedin.com/in/teacherstech