Rust HNSW library adds generic distance function support

A developer has created a new Rust library called `vector-index` to address limitations in existing Approximate Nearest Neighbor (ANN) search libraries. The primary issue identified was the hardcoding of distance functions, which prevented the use of non-standard metrics like Sliced-Wasserstein distance. This new library introduces a generic `Metric` trait, allowing users to implement and use any distance function, including custom ones, within the Hierarchical Navigable Small World (HNSW) algorithm. AI

IMPACT Enables more flexible similarity search for AI applications by allowing custom distance metrics in ANN indexing.

RANK_REASON The article describes a new open-source library implementation of an existing algorithm (HNSW) with a novel feature (generic distance metrics), suitable for use in research and development. [lever_c_demoted from research: ic=1 ai=0.7]

Read on Towards AI →

• cosine distance
• hnsw_rs
• instant-distance
• L2 distance
• OmniPulse
• Rust
• Sliced-Wasserstein distance
• Wavelet Scattering Transform
• vector-index

• paper
• product
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →