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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.
The Neftis project, allows the users and administrators edit web content and administrate multiple web sites with diferent designs and resources. Every site is completly independent and are administrated in a unique administration console.
JS4J is an extensible framework built on Java and XML that generates Javascript. It contains a built-in implementations to manage objects that have been generated by the framework, and can provide a scalable alternative to AJAX implementations.
jStates is a java library for easy state machine design and implementation.It uses XML to define states and state transitions. jStates is aimed at easy integration with desktop J2SE applications, Struts, Commons Validator, Web and other J2EE technologies
Adaptive Work-Centered User Interface Technology (ACUITy) utilizes semantic technology in an ontology-based approach to modeling and implementing intelligent user interfaces.
Sales CRM and Pipeline Management Software | Pipedrive
The easy and effective CRM for closing deals
Pipedrive’s simple interface empowers salespeople to streamline workflows and unite sales tasks in one workspace. Unlock instant sales insights with Pipedrive’s visual sales pipeline and fine-tune your strategy with robust reporting features and a personalized AI Sales Assistant.
Peas provides : data object mapping - data versioning, multi-language support, users & groups - complete web component api - web 2.0 backend and frontend templates
KnowledgeFrame is a proven, mature Java framework for agile design and development of sophisticated business database applications based on live metadata and live business rules, using a declarative approach. Links to RETS 1.7 protocol.