Showing 1-20 of 22 projects
High-performance vector database for AI apps
Vector database for AI applications
Vector similarity search for Postgres
Weaviate is an open-source vector database that combines vector search with structured filtering and scalability.
Approximate Nearest Neighbor search library in C++/Python optimized for memory usage and loading/saving to disk
Open-source embedded retrieval library for building multimodal AI search and recommendation systems.
Open-source relational database management system (RDBMS) for building data-driven applications.
Smile is a comprehensive statistical machine learning and data science library for Java developers.
A fast, header-only C++ machine learning library for developers building AI-powered applications.
A high-performance, AI-native database for LLM applications with hybrid search capabilities.
Open-source C++ library for fast, approximate nearest-neighbor search and clustering of vectors and objects
A Python library for representing, sending, storing, and searching multimodal data in AI and ML applications.
Scalable, low-latency vector search in Postgres, revolutionizing vector search and databases.
A collection of awesome and classical papers on content-based image retrieval (CBIR) and visual search.
A highly scalable distributed vector search engine for high-dimensional data and AI applications.
An approximate nearest-neighbor search library for Python and Java with a focus on ease of use and simplicity.
A curated collection of vector search-related libraries, services, and research papers for developers.
Nearest neighbor search library for high-dimensional data, useful for AI/ML applications.
A high-performance C++ library for fast nearest neighbor search using locality-sensitive hashing (LSH) algorithms.
A WASM vector similarity search library written in Rust for building AI-powered search and recommendation features.
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