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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.
CRGREP searches for matching text in databases, various document formats, archives and other difficult to access resources.
A command line tool for name and content text matching in database tables, plain files, MS Office documents, PDF, archives, MP3 audio, image meta-data, scanned documents, maven dependencies and web resources.
CRGREP will search resources within resources of any arbitrary combination or depth, so text within a document within a zip archive, and so on.
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A robust, reliable, user-friendly, and high-performance Graph Database
This is an academic project to build a graph database, supporting multiple users, with fully functioned data query, data manipulation and indexing mechanism. It is running in a distributed client-server mode. This project is assigned to final-year project from group IT121B, Bachelor of Computing, University of Wollongong.
prOOst is a provenance storing system, which allows users to store their provenance information in OPM notation. It is based on a graph database and can be accessed for querying and adding of information through a REST interface.
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