Creative Commons Attribution 4.0 International license
Dagstuhl Seminar 25391 "Retrieval-Augmented Generation - The Future of Search?" was held in the week of September 21-26, 2025. Thirty-nine researchers, most of whom came from the fields of information retrieval and web search as well as natural language processing, were invited to share the latest developments in the area of retrieval-augmented generation and discuss its research agenda and future directions. The 5-day program of the seminar consisted of four introductory and background sessions, two short talks sessions about technology and demos, one industry talk session, one afternoon hackathon, and nine working groups and reporting sessions. The seminar also had three social events during the program. This report provides the executive summary, overview of invited talks, and findings from the five working groups which cover the potential and limitations, information behavior and result presentation, the system side, societal and ethical aspects, and the evaluation of retrieval-augmented generation. The ideas and findings presented in this report should serve as one of the main sources for diverse research programs on retrieval-augmented generation.
@Article{hagen_et_al:DagRep.15.9.71,
author = {Hagen, Matthias and Mothe, Josiane and Muresan, Smaranda and Potthast, Martin and Zhang, Min and Stein, Benno and Heineking, Sebastian},
title = {{Retrieval-Augmented Generation - The Future of Search? (Dagstuhl Seminar 25391)}},
pages = {71--159},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2026},
volume = {15},
number = {9},
editor = {Hagen, Matthias and Mothe, Josiane and Muresan, Smaranda and Potthast, Martin and Zhang, Min and Stein, Benno and Heineking, Sebastian},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.9.71},
URN = {urn:nbn:de:0030-drops-249771},
doi = {10.4230/DagRep.15.9.71},
annote = {Keywords: Retrieval-Augmented Generation, Information Retrieval, Dagstuhl Seminar}
}