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RAG (Retrieval Augmented Generation)

Part 1 is the explanation, following the original RAG paper from Facebook's AI Research Division.

Part 2 is the coding example. We use LangChain & ChromaDB!

Simon Wang, Singapore

"Dev has a knack for simplifying complex concepts."

Jane Grant, New York

"This course contains a wealth of detailed concepts that you won't find collected together anywhere else. Highly recommend."

Rafael Ruiz, Spain

"I love how all the concepts are tied together from module to module."
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