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Showing posts from April, 2024

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. 💻 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? 🎉 Thanks to our Champion and Sponsor supporters: 👾 d...