I've run pgvector in production across multiple real projects. Here are the hard-earned lessons nobody puts in their README, from index tradeoffs and embedding lock-in to Supabase gotchas and similarity threshold calibration.
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I've run pgvector in production across multiple real projects. Here are the hard-earned lessons nobody puts in their README, from index tradeoffs and embedding lock-in to Supabase gotchas and similarity threshold calibration.
A real-world guide to backing up a self-hosted homelab running Postgres, Paperless, Linkwarden, and more to Dropbox using rclone and cron. No paid tools, no Docker agents, just a bash script that works.