Curiosity is a desktop productivity app for Windows, Mac and Linux.
Finding information can be time-consuming and frustrating: There are just too many files and messages in too many places.
Curiosity gives you one place to search across all your folders and cloud apps like Gmail and Slack. It also searches deep inside files, messages, and attachments. That puts all your information at your fingertips so you can focus and get more done.
Curiosity also works as a launcher so you can open programs, join your next meeting, do math, and more. That means all your work is just a shortcut away.
Curiosity includes industry-grade security features and always keeps your data safe and private on your computer.
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Curiosity is good, and constantly updated
Curiosity.ai might be a bit more popular than FuzzyWuzzy. We know about 14 links to it since March 2021 and only 11 links to FuzzyWuzzy. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If you're looking for something local, we develop an app for macOS and Windows that let's you search and talk to local files and data from cloud apps: https://curiosity.ai. - Source: Hacker News / 1 day ago
We experimented with it sometime ago for our https://curiosity.ai app, initial training on your data was a bit heavy (at the time, probably fine by today's standards) but nice results if you had enough files. Needs to be done with care as for small datasets as there's not enough info for a model to learn and you end up introducing more noise than anything. - Source: Hacker News / 29 days ago
> I'm in search of a local LLM that can run completely offline for processing personal documents. Key requirements include privacy (no data leaves my machine) and performance (efficient with large datasets). Any recommendations for open-source / commercial solutions that fit the bill in 2024? Also, what's the current state of local LLMs—are: Are they practical and useful, or still facing significant limitations?... - Source: Hacker News / about 2 months ago
You can try https://curiosity.ai, supports Windows and macOS. - Source: Hacker News / 3 months ago
We're working on something similar at https://curiosity.ai - no plugins yet but something we have in our roadmap for next year. - Source: Hacker News / 6 months ago
Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago
Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: about 2 years ago
You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago
To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: almost 3 years ago
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