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Here’s how to build a RAG system from scratch in under 50 lines of Python. No LangChain, no vector database, and no closed-source models. We’ll build the whole thing step by step so you can see exactly how chunking, embeddings, retrieval, and generation fit together. Timestamps: 00:00 Overview 00:26 The Problem 01:18 What is RAG 02:03 How it Works 03:01 TripleTen 04:48 Step 0 - Models 13:14 Step 1 - Chunking 16:25 Step 2 - Embedding 18:31 Step 3 - Searching 21:47 Step 4 - Calling the LLM 25:13 Next Steps