A cloud-native vector database, storage for next generation AI applications

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​.

Unified embedding generation and search engine. Also available on cloud - cloud.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

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

Graph-based Approximate Nearest Neighbor Search

Fast, SQL powered, in-process vector search for any language with an SQLite driver

Client Side Vector Database

⚡ A fast embedded library for approximate nearest neighbor search

CVT, a Computer Vision Toolkit.

Lightweight Nearest Neighbors with Flexible Backends

NNV(No-Named.V) is a vector database that supports Multi-Vector Search, high-performance HNSW, FLAT and quantization, and enables fast searches through sophisticated internal data shard design.

CUDA implementation of Hierarchical Navigable Small World Graph algorithm