Build a RAG System in 50 Lines of Python

Shane | LLM Implementation · Beginner ·🔍 RAG & Vector Search ·1mo ago

Skills: RAG Basics90%

Build a simple RAG system that grounds LLM answers in your own data — from theory to working code in under 50 lines of Python using LlamaIndex, OpenAI, and Milvus. This is Module 1 of a 10-part RAG course. ⏳ Chapters: 00:00 The AI Hallucination Problem 00:19 The Jupiter AI Job App 00:37 What is RAG? (Theory) 01:16 Setup & API Keys 01:45 The Tech Stack (LlamaIndex, Milvus, OpenAI) 02:25 Building the RAG System (Code) 03:24 Testing the Query Engine 03:45 Why RAG Matters (Source Verification) 04:24 Review & The Next Challenge (Messy PDFs) 🔗 Links & Resources: 💻 Get the Notebook & Join the Community: https://discord.gg/KpnJQbgpjt 🚀 Find AI & ML Jobs: https://jupiterpath.dev/ 📖 Next Video (Document Processing): https://www.youtube.com/watch?v=EbXlqjk8cZ4

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Chapters (9)

The AI Hallucination Problem

0:19 The Jupiter AI Job App

0:37 What is RAG? (Theory)

1:16 Setup & API Keys

1:45 The Tech Stack (LlamaIndex, Milvus, OpenAI)

2:25 Building the RAG System (Code)

3:24 Testing the Query Engine

3:45 Why RAG Matters (Source Verification)

4:24 Review & The Next Challenge (Messy PDFs)

Watch this before applying for jobs as a developer.