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Gen AI apps are built with MongoDB Atlas
Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Use this library to backup your MySQL Database from your Java code. This library only backs up the data, not the database structure(Future Releases). So when restoring the backup file, you must ensure that the database is created and fully functional.
Ufnasoft Document Management System (Ufnasoft-DMS), Java Document Management System developed in Java Swing, Servlets, Tomcat, and MySQL. The features are Document History, Version Control, User group based permission, Project Level Permission, Docum
Contineo is a Web-based Document Management System (DMS). Features: Folder organization, document Versioning, Bulk import, import from mailbox. NOTE: this project has been DISMISSED in favor of LogicalDOC http://sourceforge.net/projects/logicaldoc
This is the "Eclipse of Web Browsers", a secure social web browsing and multi-user messaging system. You will need to run your own version of mysql. Development is active and we are seeking project leaders. Please email suprasphere___at___gmail.com.
Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
The goal of this project is to create an expandable secure content store along the lines described by JSR 283 supporting an access model, which incorporates both discretionary and mandatory access controls.
list2db reads digested email files generated by the mailman mailing list software and converts them into SQL for a relational database. The project also includes a PHP frontend for users to search and browse archived list emails.