How are you searching scattered daily notes without losing exact names, dates, or action items?
I take a lot of daily notes, a mix of handwritten pages on an e-ink tablet synced to cloud storage and quick markdown scratchpads on my laptop.
My biggest workflow bottleneck right now is retrieving specific, actionable details across these scattered files:
- Keyword search fails when I can't remember the exact phrasing I used three weeks ago.
- Basic AI search tools miss proper nouns. Vector search is great for general concepts, but it routinely drops specific names, tech stacks, or deadlines (e.g., searching for tasks assigned to specific people) because embeddings prioritize overall context over exact words.
- Full-file context drops. Asking an LLM to process or translate a complete, multi-page meeting transcript often gets truncated due to chunk limits.
Before I start hacking together custom scripts or building a personal tool to fix this, I want to check if someone here has already solved this cleanly.
A few quick questions about your setups:
- Hybrid search: has anyone found a tool or plugin that reliably combines exact full-text keyword search with semantic AI search?
- Cloud permissions: for those syncing note folders to the cloud, how do you handle folder-level privacy without granting an app access to your entire cloud drive?
- Weekly recaps: is anyone successfully automating weekly action-item digests out of daily scratchpads without manual copy-pasting?
Curious to hear how you manage this in your personal knowledge setups, or if most people are just sticking to strict manual tagging and native search.