Kann ich Shade vibecoden?

Build me a semantic search engine for my own footage to replace Shade. Requirements:

- A Python CLI plus a small FastAPI web UI on localhost. SQLite with sqlite-vec for
  the vectors and the metadata, one file at ~/FootageIndex/index.db.
- `index <folder>` walks the tree, and for every video ffmpeg pulls a keyframe every
  5 seconds plus one at each scene cut detected by the ffmpeg scene filter.
- Each keyframe is embedded with open_clip (ViT-B/32) and stored with its timestamp.
  Stills and photos get the same treatment as a single frame.
- Audio goes through whisper.cpp for a transcript with word timestamps, chunked into
  30-second windows and embedded with sentence-transformers for text search.
- The search box takes a plain sentence and searches image and transcript vectors
  together, returning ranked results as thumbnail, filename, and timecode. Clicking
  one opens the clip at that exact frame in a player.
- Indexing is incremental and resumable, keyed on file path plus mtime plus size, and
  prints a running count so an overnight run is checkable in the morning.
- Everything runs on my machine, models included · no accounts, no cloud, no
  telemetry, no API keys. Files are read only, never moved or renamed.
- Out of scope: face recognition, sharing links, review and comments, and team sync.
  Do not build auth or a server deployment, this is a single-user local tool.
- README: installing ffmpeg and whisper.cpp, first-run model downloads, an honest
  estimate of indexing hours per TB on CPU versus GPU, and how to reset the index.

Antworte mir auf Deutsch. Oberfläche, Kommentare und README auf Deutsch, alle Bezeichner wie Tabellen, Spalten, Variablen, Routen und Dateinamen bleiben Englisch.