Google Cloud Search
Algolia
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FYI
Meta Search
eesel
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Amazon CloudSearch
Curiosity.ai
ElasticSearch
Amazon Kendra
Algolia
Apache Solr
Slapdash
Lucidworks Fusion
Sinequa
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.
Google Cloud Search Curiosity.aiCuriosity is good, and constantly updated
Based on our record, Curiosity.ai should be more popular than Google Cloud Search. 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.
Https://workspace.google.com/products/cloud-search/. - Source: Hacker News / over 2 years ago
This is a thing that exists already for Google Cloud Search https://workspace.google.com/products/cloud-search/ https://marketplace.atlassian.com/apps/1212945/google-cloud-search-confluence-connector?tab=overview&hosting=server. - Source: Hacker News / over 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 / 15 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 1 month 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 / 2 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
Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.
ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.
Amazon Kendra - Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by machine learning.
FYI - Find your documents, like magic 🔮
Meta Search - Search your Desktop, Google Drive, Dropbox, Gmail, Evernote.
Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...