Video RAG indexes footage as embeddings so a query can pull the relevant clips, which a multimodal model then reasons over. It turns a large, opaque archive into something you can ask questions of in plain language.
The book · Volume 6 of 7
AI for Video: A Complete Guide to Intelligence in Video Products: From Models and Inference to Computer Vision, Speech, Search, and Generative Video
Video RAG is how a large archive becomes something people can question in plain language, and the hard part is finding the right moment, not the answer. Volume 6 covers video RAG in detail: search and RAG over a video archive, multimodal embeddings, ASR transcripts and vision tags as metadata, and the lifecycle of the feature. Written by Nikolay Sapunov, CEO at Fora Soft.
Want people to ask questions of your video archive with video RAG?
Tell us about your archive and users, and we will outline the video RAG pipeline, retrieval design and indexing cost. 250+ video products shipped since 2005.
