#Nearest-neighbor-search
Showing 28 of 28 repositories tagged #nearest-neighbor-search, ranked by stars
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Statistical Machine Intelligence & Learning Engine
mlpack: a fast, header-only C++ machine learning library
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Represent, send, store and search multimodal data
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
Vald. A Highly Scalable Distributed Vector Search Engine
🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
Collections of vector search related libraries, service and research papers
A Python nearest neighbor descent for approximate nearest neighbors
PostgreSQL vector database extension for building AI applications
Blazing fast framework for fine-tuning similarity learning models
TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
High performance embedded vector database
hnswlib-node provides Node.js bindings for Hnswlib
A decentralized vector database for building vector search applications
Swfit library for fuzzy search. No dependencies lib.
Interactive K-Nearest Neighbors machine learning algorithm in JavaScript.
[[ ARCHIVED ]] gann(go-approximate-nearest-neighbor) is a library for Approximate Nearest Neighbor Search written in Go
Code for my PhD thesis. Library of quantization-based methods for fast similarity search in high dimensions. Presented at ECCV 18.
A Python package for hubness analysis and high-dimensional data mining
Embedded-first vector database that grows into a self-hosted service and lightweight cluster.
Iconographic Visualization Inside Computational Notebooks
A vector quantization library for Rust :crab: with Python bindings 🐍
Fast vector search in PostgreSQL