VideoRAG expands information retrieval to video
On January 14, 2025, KAIST research presented a framework that retrieves videos relevant to queries and combines visual and textual information in multimodal RAG responses.
Source: VideoRAG recupera vídeos para RAG multimodal (arxiv.org). Text prepared with AI from this source.
What happened and what to do
On January 14, 2025, KAIST research presented VideoRAG, a framework for retrieving videos relevant to a query and incorporating visual and textual information into generated responses. When videos lack captions, the approach uses automatic speech recognition to create auxiliary text.
A company could apply this idea to training, support, or inspection archives: organize videos and transcripts, index their content, and provide a search API that returns relevant segments with context. A project could start with an archive diagnosis, access criteria, and a retrieval prototype before defining operations.
How the consultancy can help
Wendelmaques can assess the archive and search opportunity, scope an implementation with ingestion, transcription, indexing, and an API, and plan its operation within the agreed scope.
Next step
Send a short description of your video archive and desired search process to receive a scoped proposal.
Let's assess your project
I reply with scope and a proposal.