Retrieval Augmented Generation (RAG) Using Open Source LLM Frameworks
Registration
Details
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.
_____________________________________________________
See other sessions in the Digital Scholarship Workshop series at bit.ly/KSL_DSworkshops.
Have a question? Email us at freedmancenter@case.edu!
Hosted By
Co-hosted with: Explore
Contact the organizers