Trieve

A blazing fast inference solution for text embeddings models built in Rust, serving as core infrastructure for building RAG systems and vector retrieval pipelines with high throughput and low latency.

A PostgreSQL vector database extension for building AI applications, adding high-performance vector search capabilities to PostgreSQL with support for generating and indexing embeddings directly in the database.

A complete search engine and RAG pipeline in your browser, server, or edge network. Supports full-text, vector, and hybrid search in less than 2kb. Perfect for building AI-powered search experiences anywhere.

USearch is a fast open-source search and clustering engine for vectors and arbitrary objects, with bindings in C++, Python, JavaScript, Rust, Java, Swift, C#, Go, and Wolfram for large-scale vector retrieval.