Retrieval Augmented Generation (RAG) Using Open Source LLM Frameworks

Name: Retrieval Augmented Generation (RAG) Using Open Source LLM Frameworks
Start: 2025-12-10T13:00:00-05:00
End: 2025-12-10T14:00:00-05:00
Location: Private Location (sign in to display)

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Workshop Admission: Free Audience: Faculty Audience: Graduate/Professional ... Audience: Postdoctoral Scholars Audience: Staff Audience: Undergraduate Students Digital Humanities Featured in The Daily Format: In-Person Library Event Series: Digital Scholarship @ KSL Series: Explore Activities and C... Topic: Research

Wed, Dec 10, 2025

1 PM – 2 PM EST (GMT-5)

Private Location (sign in to display)

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Retrieval Augmented Generation (RAG) Using Open Source LLM Frameworks

This digital scholarship workshop offers graduate students an introduction to retrieval-augmented generation (RAG) using large language models. Participants will learn how RAG systems combine external knowledge sources with LLMs to generate more accurate, context-aware responses. The session will cover core concepts, use cases in academic research, and tools for building RAG pipelines with open-source frameworks.

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See other sessions in the Digital Scholarship Workshop series at bit.ly/KSL_DSworkshops.

Have a question? Email us at freedmancenter@case.edu!

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Co-hosted with: Explore