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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.
The Semantic Web Peer - Allegra is an innovative library for Semantic Web applications development. It provides a framework for asynchronous network peer programming, a simple stack of Internet standards implementations, and two new network applications:
HarvestMan is a fully functional, multithreaded webcrawler cum offline-browser. It is highly customizable and supports as much as 55 plus options for controlling and customizing offline browsing. It is written entirely in the Pythonprogramming language.
Image2DocInfo has been made to quickly tag digital pictures. A GUI allows you to set attributes for an image, and then store them in XML files. Those files follow the Dublin Core naming scheme and are stored in the same directories than the pictures.
"Gobble" is a GUI based interface for accessing search results from www.Google.com and allowing the user to download files of a selected type. Functionality for multiple advanced functions is included.