Gemini can now natively embed video, so I built sub-second video search
Gemini Embedding 2 can project raw video directly into a 768-dimensional vector space alongside text. No transcription, no frame captioning, no intermediate text. A query like "green car cutting me off" is directly comparable to a 30-second video clip at the vector level. I used this to build a CLI that indexes hours of footage into ChromaDB, then searches it with natural language and auto-trims the matching clip. Demo video on the GitHub README. Indexing costs ~$2.50/hr of footage. Still-frame detection skips idle chunks, so security camera / sentry mode footage is much cheaper.
Gemini can now natively embed video, so I built sub-second video search launched on March 24, 2026 with 438 votes, #29 of 23,380 launches that month and more than 99% of that year's launches.
In plain words
A command-line tool that indexes video footage by converting it directly into a searchable vector space using Gemini's native video embedding. Users can search hours of video with natural language queries like "green car cutting me off" and automatically retrieve matching clips. The tool stores indexed footage in ChromaDB and skips idle frames to reduce costs, making it practical for security camera and dashcam footage. Indexing costs approximately $2.50 per hour of video.
written from the facts on this page · September 2026
From the sources
Semantic search over videos using Gemini Embedding 2 or Qwen3-VL. - ssrajadh/sentrysearch
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