Enhancing Retrieval-Augmented Generation for Query-Focused Meeting Summarizations

This project implements a Retrieval-Augmented Generation (RAG) system for querying meeting transcripts using the QMSum dataset of 230+ annotated meetings.

Datasets

• meetings.csv
• questions_answers.tsv

Models

• Baseline: baseline.ipynb
• Current best model: best_model.ipynb

References

• QMSum
• Ragatouille libraries