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Gen AI apps are built with MongoDB Atlas
The database for AI-powered applications.
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.
Application created in client-server architecture. Communication is based on REST protocol.
Functionality:
- add documents to repository (document means one or more files)
- add new version of files
- edit files directly from client app
- set attributes for document
- user authorization
CADI is an implementation of the JPIP standard (JPEG2000 Interactive Protocol - Part 9). CADI includes a JPIP server, a JPIP proxy, and a JPIP Client. CADI is designed and programmed with the aim to provide a flexible framework to test and develop ne
FLEX-db - an enterprise Digital Asset Manager (DAM). It ingests and links metadata with files, creates thumbnails, and processes files using business rules. FLEX-db has a JSP client, Java app server for file input and output and an EJB metadata layer.
A client-server Document Management System based on lucene as full text search engine. Allows you to scan or import documents and create virtual folders. OBSOLETE.. use Alfresco instead...
Open-Source Media Asset Management System. Java-based, platform-independent, build upon a client-server-structure, using Hibernate for persistance and extensible Qualified Dublin Core for metadata storage.