Model chooser / Search and answer from your own content / One-off
For a one-off question across a folder of docs, recordings or slides, you do not need embeddings at all. Put everything into a 1M-token context and ask. Gemini 3.8 Flash reads text, PDF, images, audio and video in one request.
Why Gemini 3.8 Flash
How to use it
Prompt for Gemini
Edit the parts in capitals, then run it.
The attached files are WHAT THEY ARE. Answer my questions using only these files. For every answer: - Cite the file name and the page, slide or timestamp - If files disagree, show both and say which is newer - If the answer is not in the files, say "not in the files" First question: QUESTION
Alternatives that also work
Pick it when the content is text-heavy and the answer needs careful reasoning across documents.
Pick it when your files are in ChatGPT already and the question mixes your content with web research.
Pick it when the material is confidential. It reads text and images, runs on one GPU, and extends to a 1M context.
Watch out for
Sources
Checked . Models change monthly; we re-check this page when they do.
Wiring it into a workflow that runs every week, with evals, fallbacks and a cost you can predict, is the work. Fifteen minutes, no deck.