MinishLab/vicinity
Lightweight Nearest Neighbors with Flexible Backends
This tool helps data practitioners efficiently find the most similar items within a large collection of data. You input a list of items and their numerical representations (vectors), along with a query item, and it outputs the top matching items. This is ideal for anyone working with embeddings to find similar text, images, products, or recommendations.
334 stars. Available on PyPI.
Use this if you need a consistent way to experiment with and evaluate different nearest neighbor search methods for your vector data.
Not ideal if your primary need is to frequently delete items from your collection, as many underlying methods require re-indexing for deletions.
Stars
334
Forks
10
Language
Python
License
MIT
Category
Last pushed
Dec 30, 2025
Commits (30d)
0
Dependencies
3
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