Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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Updated
Jul 29, 2024 - Rust
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
K-dimensional tree in Rust for fast geospatial indexing and lookup
🕸️🦀 A WASM vector similarity search written in Rust
Approximate nearest neighbour search for microbial genomes based on hash metric
Nearest neighbor search algorithms including a ball tree and a vantage point tree.
Rust port of annoy (https://github.com/spotify/annoy)
A pure Rust implementation of the fast K Nearest Neighbor (KNN) library for low-dimensional spaces.
Fast 2D nearest neighbor search with an angle.
A lightweight research library for managing Approximate Nearest Neighbor search datasets.
Navigable Small World Graphs For Approximate Nearest Neighbors In Rust
An overview and analysis of structures optimized for nearest neighbour searches.
Simple standalone multi-threaded locality sensitive hashing implementation in Rust
A simple KDTree nearest neighbors implementation.
Code to reproduce https://arxiv.org/abs/2405.12207
ArcMind Vector DB
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