Shypd.aiThe largest open index of AI toolspgvecto.rs is a Postgres extension that provides scalable, low-latency vector similarity search functions. Written in Rust, it enhances vector search capabilities within Postgres without requiring a database overhaul.
Trending
About
pgvecto.rs is a Postgres extension designed for scalable, low-latency, and hybrid-enabled vector search directly within PostgreSQL databases. Built with Rust and based on pgrx, it allows users to integrate vector similarity search functions without revolutionizing their existing database infrastructure. Key features include support for up to 65535 vector dimensions, dynamic SIMD instruction dispatching for optimized performance, and additional data types like binary vectors, FP16, and INT8. It offers filtering capabilities with its VBASE method for combined vector search and relational queries, and provides Write-Ahead Logging (WAL) support for data. The tool supports squared Euclidean distance, negative dot product, and cosine distance operators for vector comparisons, making it a robust solution for integrating advanced vector search into PostgreSQL.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
