RAG From Scratch – Tutorial from LangChain Engineer


Curriculum for the course RAG From Scratch – Tutorial from LangChain Engineer

Learn how to implement RAG from scratch from a LangChain software engineer. This course teaches you how to use RAG to combine custom data with LLMs. ๐Ÿ’ป Code: https://github.com/langchain-ai/rag-from-scratch ✏️ Course created by Lance Martin, PhD. Lance on X: https://twitter.com/rlancemartin ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Overview ⌨️ (0:05:53) Indexing ⌨️ (0:10:40) Retrieval ⌨️ (0:15:52) Generation ⌨️ (0:22:14) Query Translation (Multi-Query) ⌨️ (0:28:20) Query Translation (RAG Fusion) ⌨️ (0:33:57) Query Translation (Decomposition) ⌨️ (0:40:31) Query Translation (Step Back) ⌨️ (0:47:24) Query Translation (HyDE) ⌨️ (0:52:07) Routing ⌨️ (0:59:08) Query Construction ⌨️ (1:05:05) Indexing (Multi Representation) ⌨️ (1:11:39) Indexing (RAPTOR) ⌨️ (1:19:19) Indexing (ColBERT) ⌨️ (1:26:32) CRAG ⌨️ (1:44:09) Adaptive RAG ⌨️ (2:12:02) Is RAG Really Dead? ๐ŸŽ‰ Thanks to our Champion and Sponsor supporters: ๐Ÿ‘พ davthecoder ๐Ÿ‘พ jedi-or-sith ๐Ÿ‘พ ๅ—ๅฎฎๅƒๅฝฑ ๐Ÿ‘พ Agustรญn Kussrow ๐Ÿ‘พ Nattira Maneerat ๐Ÿ‘พ Heather Wcislo ๐Ÿ‘พ Serhiy Kalinets ๐Ÿ‘พ Justin Hual ๐Ÿ‘พ Otis Morgan ๐Ÿ‘พ 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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