curiosity-ai/hnsw-sharp
C# library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs
This library helps C# developers quickly find items similar to a given query from a large collection of high-dimensional data, like feature vectors or embeddings. You input numerical vectors representing your data and a query vector, and it outputs a list of the most similar vectors from your collection. Developers working with .NET applications that need efficient similarity search would use this.
Use this if you are a C# developer building an application that needs to perform fast approximate nearest neighbor searches on high-dimensional data.
Not ideal if you need perfectly exact nearest neighbor results or are not working within the .NET ecosystem.
Stars
97
Forks
12
Language
C#
License
MIT
Category
Last pushed
Jan 28, 2026
Commits (30d)
0
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