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This course will guide you through the basics of Retrieval-Augmented Generation (RAG), starting with its fundamental concepts and components. You'll learn how to build a RAG system for chatting with documents, explore advanced techniques, and understand the pitfalls of naive RAG. ✏️ Course created by @vincibits For the first fundamentals of the RAG part of the course, here's the GitHub link: https://github.com/pdichone/rag-intro-chat-with-docs For the advanced RAG Techniques part of the course, here's the GitHub link: https://github.com/pdichone/advanced-rag-techniques ❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba) ⭐️ Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:02:22) RAG Fundamentals ⌨️ (0:03:21) Components of RAG ⌨️ (0:05:56) RAG Deep Dive ⌨️ (0:07:56) Building a RAG System - Build an Application for Chatting with Our Documents ⌨️ (0:32:52) Using Advanced RAG Techniques - Overview ⌨️ (0:36:07) Naive RAG Overview and Its Pitfalls ⌨️ (0:42:16) Naive RAG Drawbacks Breakdown ⌨️ (0:48:28) Advanced RAG Techniques as the Solution - Query Expansion with Generated Answers ⌨️ (0:54:23) Query Expansion with Generated Answers - Hands-on ⌨️ (1:16:21) Query Expansion Summary ⌨️ (1:17:44) Query Expansion with Multiple Queries - Overview ⌨️ (1:20:57) Query Expansion with multiple Queries - Hands-on ⌨️ (1:33:27) Your Turn - Challenge ⌨️ (1:35:19) The End - Next Steps 🎉 Thanks to our Champion and Sponsor supporters: 👾 davthecoder 👾 jedi-or-sith 👾 南宮千影 👾 Agustín Kussrow 👾 Nattira Maneerat 👾 Heather Wcislo 👾 Serhiy Kalinets 👾 Justin Hual 👾 Otis Morgan 👾 Oscar Rahnama -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

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