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/
Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.
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.
Open-source vector similarity search for Postgres
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.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
A Python nearest neighbor descent for approximate nearest neighbors
Statistical Machine Intelligence & Learning Engine
mlpack: a fast, header-only C++ machine learning library
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
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.
πAwesome and classical image retrieval papers
Vald. A Highly Scalable Distributed Vector Search Engine
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C#.
Blazing fast framework for fine-tuning similarity learning models
π°οΈ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.