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/
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
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 databaseβ.
Open-source vector similarity search for Postgres
MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry.
cuVS - a library for vector search and clustering on the GPU
Billion-scale embedded vector database built entirely on Parquet and Arrow.
A vector index built on TurboQuant, written in Rust with Python bindings
Statistical Machine Intelligence & Learning Engine
mlpack: a fast, header-only C++ machine learning library
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Fast Open-Source Search & Clustering engine Γ for Vectors & Arbitrary Objects Γ in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram π
πAwesome and classical image retrieval papers
Vald. A Highly Scalable Distributed Vector Search Engine
π°οΈ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C#.
A Python nearest neighbor descent for approximate nearest neighbors
Blazing fast framework for fine-tuning similarity learning models
β‘ In-Memory Vector Search Engine & HNSW ANN Graph in Java 21 Loom. Sub-millisecond KNN retrieval, 8-bit scalar quantization (SQ8), 16,000+ QPS.
Taz Wanted Trainer & Patcher 2026: Ultimate Game Enhancer Suite
Taz Wanted Game Trainer Hub 2026: Ultimate Repack and Mod Toolkit for PC Players