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Voyager is a library for performing fast approximate nearest-neighbor searches on an in-memory collection of vectors. Voyager features bindings to both Python and Java, with feature parity and index compatibility between both languages. It uses the HNSW algorithm, based on the open-source hnswlib package, with numerous features added for convenience and speed. Voyager is used extensively in production at Spotify, and is queried hundreds of millions of times per day to power numerous user-facing features.

This project is about configuration of applications and about parameterization of Objects. This library offers annotations (and annotation processors), parsers, typing, observing changes, serialization, cloning and more when working with settings and/or object parameters. Settings and its features can be declared using an xml format. The library offers syntax support for settings and parameters in a loosely coupled manner. You are not restricted to built in syntax, you can provide your own. At runtime this library tracks keys for which a default is used because they are not found in settings. Also it tracks unused keys. You can stack features for settings such as caching, preparing keys and values, readonlyness, threadsafety, helpsupport, reading / parsing from input. You can easily develop your own features for settings.