Hnsw Open Source Projects

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​.

Ecommerce Search and Discovery - marqo.ai

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.

PostgreSQL vector database extension for building AI applications

一款简单好用的 跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。欢迎star & fork。Build together! Power another !

Visualize hnsw, faiss and other anns index

An AI-native lightweight and reliable open-source vector database designed to run on the edge.

Fast approximate nearest neighbor searching in Rust, based on HNSW index

Graph-based Approximate Nearest Neighbor Search

⚡ A fast embedded library for approximate nearest neighbor search

CUDA implementation of Hierarchical Navigable Small World Graph algorithm

CVT, a Computer Vision Toolkit.

What if an HNSW index was just a file, and you could serve it from a CDN, and search it directly in the browser?

(distributed) vector database

MSVBASE is a system that efficiently supports complex queries of both approximate similarity search and relational operators. It integrates high-dimensional vector indices into PostgreSQL, a relational database to facilitate complex approximate similarity queries.