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.
Definition
Applying retrieval-augmented generation to a video archive: find the right moments by meaning, then let a model answer questions or summarise them.
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.
Also known as
multimodal RAG, video search