Showing 7 of 7 projects
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.
Open-source vector database and embedding store for building AI applications with semantic search.
An open-source embedded retrieval library for multimodal AI, offering fast vector search, SQL, and full-text search.
A semantic cache library for LLM queries that reduces API costs by 10x and boosts response speed by 100x.
A fast, single-file similarity search and clustering engine for vectors and arbitrary objects with multi-language bindings.
A C++ library for fast approximate nearest neighbor searches in high-dimensional spaces with automatic algorithm selection.
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