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Showing 2 open source projects for "collection"
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Gen AI apps are built with MongoDB AtlasMongoDB 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.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Jellyfin Android
Android Client for Jellyfin
Jellyfin Mobile is an Android app that connects to Jellyfin instances and integrates with the official web client. We welcome all contributions and pull requests! If you have a larger feature in mind please open an issue so we can discuss the implementation before you start. Even though the client is only a web wrapper there are still lots of improvements and bug fixes that can be accomplished with Android and Kotlin knowledge. -
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Booster
Optimizer for mobile applications
Booster is an easy-to-use, lightweight, powerful and extensible quality optimization toolkit designed specially for mobile applications. The primary goal is to solve quality problems with the increase of APP complexity, such as performance, stability, and package size, etc. Booster provides a collection of modules for performance detection, multithreading optimization, resources index inline, redundant resources reduction, resources compression, system bug fixing, etc. Using booster...
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