ai-from-scratch: Rebuild Core AI Components from First Principles

ai-from-scratch is an educational repository that reimplements transformers, tokenizers, AI agents, RAG pipelines, and vector databases from the ground up in Python. The goal is to give learners a clear view of how modern AI systems work internally rather than treating libraries as black boxes. Each component is built step by step with explanations.