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Duke University

Introduction to Retrieval Augmented Generation (RAG)

Duke University via Coursera

Overview

In this 2-hour project-based course, you will learn how to import data into Pandas, create embeddings with SentenceTransformers, and build a retrieval augmented generation (RAG) system with your data, Qdrant, and an LLM like Llamafile or OpenAI. This hands-on course will teach you to build an end-to-end RAG system with your own data using open source tools for a powerful generative AI application.

Syllabus

  • Project Overview
    • In this project you learn how to implement RAG

Taught by

Alfredo Deza

Reviews

4.4 rating at Coursera based on 29 ratings

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