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Description

You will learn how to run a Large Language Model to perform Retrieval Augmented Generation (RAG) on Agate. We will focus on the essential components of RAG, including LLMs, Embeddings, Vector Store DB, Retrieval - Generation, and LangChain. We will use LangChain API to build a naive RAG pipeline on Agate.  By the end of this tutorial, you'll have the skills to build your own RAG pipeline and start 'talking' to your own data! 

To be successful, you should have:
An active MSI account
A laptop computer you can use to connect to MSI
Familiarity with Bash, Python, and SLURM

 

If you are registering late and registration is closed, please email help@msi.umn.edu for assistance.

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Enroll Now - Select a section to enroll in

Section Title
Deep Learning II at MSI
Type
Classroom
Days
Th
Time
1:00PM to 3:30PM
Dates
Apr 16, 2026
Campus
Twin Cities (US Central Time)
Building
Walter Library
Room
Room 575
Schedule and Location
Contact Hours
2.5
Course Fee(s)
Tutorial fee $0.00
Section Title
Deep Learning II at MSI
Type
Online, instructor led
Days
Th
Time
1:00PM to 3:30PM
Dates
Apr 16, 2026
Campus
Online
Schedule and Location
Contact Hours
2.5
Location
  • Online
Course Fee(s)
Tutorial fee $0.00
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