One-page reference for assembling a video archive search-and-Q&A engine with multimodal RAG: the index-once / cite-always two-rule spine, the two-half reference architecture, the build-vs-buy verdict per component, the 2026 embedding-and-answer model field with the Marengo 2.7 sunset, the two-line cost model (one-time index vs per-question) against the long-context baseline, the five-milestone build order, and the three governance gates (permissions, privacy of people in the footage, audit).
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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
This blueprint assembles a video archive search and Q&A engine with multimodal RAG: index once, cite always, build or buy per component, the 2026 model field, a two-line cost model and governance gates. Volume 6 covers this in depth: search and RAG over video archives, speech recognition, computer vision for indexing, and deployment topologies. Written by Nikolay Sapunov, CEO at Fora Soft.
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