Published on January 14, 2025, this brief describes VideoRAG, a KAIST research framework that retrieves videos relevant to queries and combines visual and textual information in generated answers.
On January 14, 2025, VideoRAG was presented as a framework proposed by KAIST research teams to retrieve videos relevant to a query and incorporate visual and textual information into answers generated by a retrieval-augmented generation (RAG) system. The brief says the method uses automatic speech recognition to create auxiliary text when videos lack subtitles.
The material describes an approach for including video content in retrieval and answer generation, but provides no metrics, experiments, or comparative results. To assess the work, consult the original publication and verify its method, data, and findings there; those details are absent from the Radar brief. If using AI to study or apply the proposal, avoid submitting confidential videos or transcripts without authorization and review the data policy of the tool you use.