The context window is the model's working memory limit. A large window lets you feed long transcripts or many frames in a single call; exceed it and you must summarise, chunk, or retrieve. Window size strongly affects what video tasks are feasible and what they cost.

Book cover: AI for Video, Volume 6 of the Fora Soft Video Engineering Handbook

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

The context window decides how many frames or how much transcript a model can see in one call, and therefore what a video task costs. This volume covers the context window in practice: ML basics for product decisions, frame sampling for vision-language models, and search and RAG over a video archive when content exceeds the limit. Written by Nikolay Sapunov, CEO at Fora Soft.

Read it on Amazon →Kindle & paperback · Fora Soft Video Engineering Handbook

Running long videos through a model and hitting the context window limit?

Tell us the video length and the question you need answered, and we will propose a sampling, chunking or retrieval design with a cost per hour of footage. 250+ video products shipped since 2005.

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