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Learner Reviews & Feedback for Introduction to Retrieval Augmented Generation (RAG) by Duke University

4.0
stars
14 ratings

About the Course

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....

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1 - 4 of 4 Reviews for Introduction to Retrieval Augmented Generation (RAG)

By Lorin R

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Aug 19, 2024

Needs testing on Windows. Final project didn't provide a cloud option and I could not get it to work locally. Probably a much better experience on Macs supporting Cuda.

By Valerio V

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Aug 23, 2024

The videos do not provide any information about what a vector DB is and how it works (e.g. the architecture), same for RAG and LLM. The project is extremely trivial and, personally, I won't put it into my personal repo because it won't add any value to it (possibly the opposite though).

By Teig L

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May 18, 2024

The introduction to the lab was good, but the goals could have been more specific. I would have liked more time spent on some of the concepts that the final questions were about, though that may be in a different course.

By Johnson c

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May 17, 2024

Good Exercise for introduction RAG by LLM and VectorDB