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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.
Java GUI that connects to content providers API such as Google, Bing, Wikipedia and implements a local search engine powered by Lucene, to search different contents: images, videos, articles, files and display them in an ergonomic OpenGL component.
The Retrieval Component Integrator Project (RECOIN) intends to provide an extensible framework of Java classes to build a meta-search and information retrieval (IR) system based on heterogenous IR components as part of a modular retrieval process. The so
XQEngine is a Javacomponent for searching collections of XML documents that uses an XQuery front end. The engine has a straightforward API that allows it to be easily embedded in end user applications. Requires some basic Java programming skills.