Nearest Neighbor Search
Showing 8 of 8 projects
A high-performance, cloud-native vector database built for scalable approximate nearest neighbor (ANN) search.
A library for efficient similarity search and clustering of dense vectors, scaling to billions of vectors on a single server.
A high-performance vector database and search engine written in Rust, designed for AI applications with filtering and payload support.
An open-source embedded retrieval library for multimodal AI, offering fast vector search, SQL, and full-text search.
A fast and comprehensive machine learning framework for Java, Scala, and Kotlin with state-of-the-art algorithms and data visualization.
A fast, header-only C++ machine learning library with bindings for Python, R, Julia, and Go.
An AI-native database built for LLM applications, offering incredibly fast hybrid search across vectors, tensors, and full-text.
A C++ library for fast approximate nearest neighbor searches in high-dimensional spaces with automatic algorithm selection.
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