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.
Curiosity is good, and constantly updated
Based on our record, Curiosity.ai should be more popular than Searchkick. It has been mentiond 14 times since March 2021. 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.
I run a large scale production application that does something along these lines. If the data needs to be close to real-time, I'd say use `searchkick` + Elasticsearch, and use `searchkick`'s async feature to "stream" the data from your table to the ES index. Your dashboard will then just query from the ES index via searchkick. Source: over 1 year ago
You're right, that's actually what we implemented, application-level hooks, but they needed development and maintenance effort that come for free with the adapter we're using for OpenSearch integration, which also comes with welcome features: synonyms, partial matches, and many others. Spoiler, the adapter is Searchkick: https://github.com/ankane/searchkick. - Source: Hacker News / over 1 year ago
Normally for Rails applications you would use a gem like searchkick since it greatly reduces the initial Elasticsearch complexity. Source: almost 2 years ago
We lean heavily on Elasticsearch at CompanyCam. One of it's primary use cases is serving our highly filterable project feed. It is incredibly fast, even when you apply multiple filters to your query and are searching a largish data set. Our primary interface for interacting with Elasticsearch is using the Searchkick gem. Searchkick is a powerhouse and provides so many features out of the box. One place where we... - Source: dev.to / almost 2 years ago
Convinced? Ok read on and I’ll show you what switching from Elasticsearch to Meilisearch looked like for a real production app — ScribeHub. We also moved from Ankane’s excellent Searchkick gem to the first party meilisearch-rails gem and I’ll show you the changes there as well. - Source: dev.to / almost 2 years ago
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 / 22 days 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 / about 2 months 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 / 3 months ago
You can try https://curiosity.ai, supports Windows and macOS. - Source: Hacker News / 4 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 / 7 months ago
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