MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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MongoDB Atlas runs apps anywhere
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
First index images by contents, then search the index for similarities
JavaFX GUI based on Lire and Lucene.
First index images by contents, then search the index for similarities between JPEG images.
LIRE : http://www.semanticmetadata.net/lire/
LUCENE : http://lucene.apache.org/core/
Console mode, outputs designed to be easily analyzed by a parser (--quiet mode).
Reggata is a tagging system for managing local files on a computer. Use it for organizing your huge collections of music, ebooks and photos (or any other files) with tags.
TESTERS NEEDED! Help the project: submit BUGS and request NEW FEATURES here https://github.com/vlkv/reggata/issues
Send me your FEEDBACK vitvlkv@gmail.com !!!
A Java implementation of a desktop search engine based on Apache Lucene. It indexes HTML-, XML-, OpenOffice- (Writer, Calc, Impress), MS Word-, and PDF- documents as well as plain text files. For other, arbitrary file types the file name can be indexed.