feat: rewind keyword search #1330
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screenpipe-server/src/db.rs
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| // Add conditions for each keyword | ||
| if fuzzy_match { | ||
| conditions.extend(keywords.iter().map(|_| "o.text LIKE '%' || ? || '%'")); |
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isn't the FTS 100000x faster than LIKE?
O(log(n))
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yeah you are right
changing the implementation to use FTS
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trying to understand is it full refactor of timeline or different page in it? like ideas here, however the query is way too slow to generate suggestion, most people don't have this attention span how do you extract these logos? this is quite interesting as some people ask for "universal file search" or like typical use case: "ok im trying to find my rent document is it in dropbox, google drive, gmail, icloud, somewhere else...?" and also this is a use case for teams, for example if my friend saw a document and i want to find it, it would be so useful to be able to search and find it in seconds #1293 related this is kinda out of scope of the initial search idea i wrote but kind of extension of it we've also explored idea of using models like https://github.com/microsoft/OmniParser to index images/logos more precisely than OCR for the future FYI PS: cannot test right now - focused on #1318 |
it is different page
using local model for suggestions, maybe I could generate suggestions based on app_name without using models.
getting links from text and fetching favicon from google
this is cool, maybe we could use models to get related info or use embeddings for this |
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hows the AI settings config? 
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Screen.Recording.2025-02-13.at.8.41.04.AM.movalso would appreciate if u can fix the top bar navigation |
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looking into this
sure |
related: #1271
/claim #1271
Screen.Recording.2025-02-11.at.3.50.14.PM.1.mp4
Screen.Recording.2025-02-11.at.4.13.59.PM.1.mp4