ssrajadh/sentrysearch
Semantic search over videos using Gemini Embedding 2.
Splits video into overlapping chunks and embeds them directly using Gemini Embedding 2 or local Qwen3-VL models into a ChromaDB vector database, enabling text queries to match against raw video pixels without transcription. Supports automatic clip trimming, Tesla dashcam telemetry overlay, and offline indexing/search via quantized local models as a free alternative to the API backend.
894 stars. Actively maintained with 101 commits in the last 30 days.
Stars
894
Forks
45
Language
Python
License
MIT
Category
Last pushed
Mar 28, 2026
Commits (30d)
101
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/ssrajadh/sentrysearch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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