FORAGe

Understanding Retrieval Augmented Generation (RAG)-based Sensemaking for Community Conversations

Prototypes

FOra Retrieval-Augmented GEneration (FORAGE) is a search engine that allows you to explore conversational data more deeply than with standard keyword search. Pose queries in natural language to explore relevant excerpts and an analysis, complete with citations, that synthesizes insights to answer your question.

Natural Language Processing, Sensemaking, Generative AI
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Collaborators

Doug Beeferman

Research Engineer

Hope Schroeder

PhD candidate

Read the paper

Hope Schroeder, Doug Beeferman, Maya Detwiller, Dimitra Dimitrakopoulou, and Deb Roy. 2025. Forage: Understanding RAG-based Sensemaking for Community Conversations. In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA ’25). Association for Computing Machinery, New York, NY, USA, Article 283, 1–12. https://doi.org/10.1145/3706599.3719756

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