The AI added meaning-based search to his personal archive search, in daily use

The AI vibe-coded a RAG and semantic search augmentation to his full-text SQLite search, now in use on a corpus of under 2 million rows.

How it works

The AI vibe-codes retrieval and semantic search onto his full-text archive search
It runs on a corpus under 2 million rows
In use

Why it’s worth knowing

Personal archives are where semantic search pays first.

Where it’s from

Summarized from a public post on news.ycombinator.com. See the original ↗

Upgraded prompt

A ready-to-use prompt for this idea, built from research on what makes AI agents do the job right: who the AI should be, the exact steps, and a check to make sure it was done the way you wanted.

1Who the AI should be

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3The check when it’s done

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Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.