examples of RAG in LAMs

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Tom Cramer

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May 5, 2026, 2:06:57 PM (4 days ago) May 5
to 'nina.bricelj@nb.no' via ai4lam, Tom Cramer
Dear Ai4lam community members, 

I’m looking for examples of RAG implementations in LAMs.  If you’re aware of a live system and any description of it (article, blog post, conference presentation, etc.), could you please let me know? I will populate and share a doc with any examples I find.

Thanks so much, 

Tom



Keven Jeffery

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May 5, 2026, 2:54:03 PM (4 days ago) May 5
to Tom Cramer, 'nina.bricelj@nb.no' via ai4lam
Hi Tom,

I have a small RAG application at https://library2.sdsu.edu/research-help/

It's a librarian subject expert finder. It first looks in a local database for simple keywords, like "Health" and uses a prompt to find the best match.

If It doesn't find a librarian in our local database (I test with "Myocardial Infarction") a prompt looks in a RAG knowledge base of our 30 librarians and makes a semantic connection.


This is using a locally hosted llama 3.1:70b model.

Keven

[Message ends here]

Keven Jeffery, MLIS
Digital Initiatives Librarian, SDSU Library
Pronouns: he/him/his

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“A truly great library contains something in it to offend everyone.” - Jo Godwin


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Glen Berman

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May 5, 2026, 9:28:11 PM (4 days ago) May 5
to Keven Jeffery, Tom Cramer, 'nina.bricelj@nb.no' via ai4lam
Hi Tom,

I’m not sure if this quite what you’re looking for, but over at the AIINFRA project (https://aiinfra.anu.edu.au/) James Smithies has led the building of a couple of prototype RAG chatbots for use with historical corpora — one is Cambridge University Library’s Darwin correspondence dataset, and the other uses Hansard records from Parliamentary libraries in Australia, the UK, and New Zealand.

All the best,
Glen 

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Glen Berman
From: ai4...@googlegroups.com <ai4...@googlegroups.com> on behalf of Keven Jeffery <kjef...@sdsu.edu>
Date: Wednesday, 6 May 2026 at 4:54 AM
To: Tom Cramer <tcr...@stanford.edu>
Cc: 'nina.b...@nb.no' via ai4lam <ai4...@googlegroups.com>
Subject: Re: [ai4lam] examples of RAG in LAMs

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