hora-search/hora
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
Hora helps you find similar items very quickly in large collections of data. You give it a set of items, each described by numerical features (like image pixels or document embeddings), and then ask it to find the closest matches for a new item. This is useful for anyone who needs to perform high-speed similarity searches, such as developers building recommendation engines, face recognition systems, or content search platforms.
2,659 stars.
Use this if you need to rapidly find items similar to a given query item within a massive dataset, like identifying duplicate images or recommending related products.
Not ideal if your dataset is very small or if you require perfectly exact nearest neighbor results rather than approximate ones.
Stars
2,659
Forks
76
Language
Rust
License
Apache-2.0
Category
Last pushed
Feb 17, 2026
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/hora-search/hora"
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