I've been meaning to write something about how I did it, and have been putting it off for a long time. I wrote all the tools myself - by that, I mean that every

I've been meaning to write something about how I did it, and have been putting it off for a long time. I wrote all the tools myself - by that, I mean that everything was a web app running in my browser. My advice would be to first set up an automation for yt-dlp to pull the media, then use Whisper to build a transcription pipeline. Chunk the transcript based on desired result granularity, then store embeddings in local Qdrant. It helps to use an orchestrator to handle all of this - my current recommendation is Dagster (dagster.io).