Retrieval augmented generation (RAG) comes is a general methodology for connecting LLMs with external data sources. These notebooks accompany a video playlist that builds up an understanding of RAG from scratch, starting with the basics of indexing, retrieval, and generation.
schermanlu / rag-from-scratch Goto Github PK
View Code? Open in Web Editor NEWThis project forked from langchain-ai/rag-from-scratch