RAG From Scratch – Tutorial from LangChain Engineer

Learn really to instrumentality RAG from scratch from a LangChain package engineer. This people teaches you really to usage RAG to harvester civilization information pinch LLMs. 💻 Code: https://github.com/langchain-ai/rag-from-scratch ✏️ Course created by Lance Martin, PhD. Lance connected 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? 🎉 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 codification for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles connected programming: https://freecodecamp.org/news