Building RAG From Scratch — No Libraries, Just Math || 30 days 30 AI concepts

Most RAG tutorials use libraries. In this video, we build Retrieval Augmented Generation (RAG) completely from scratch using pure mathematics. No vector databases. No frameworks. Just cosine similarity and semantic search fundamentals. You’ll understand: • How documents are converted into embeddings • Why vectors represent meaning • How cosine similarity retrieves relevant context • The mathematical intuition behind semantic search • What actually happens inside a RAG pipeline If you truly want to understand RAG instead of just using APIs, this lecture is for you. #RAG #RetrievalAugmen…