tensorchord/pgvecto.rs

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.

41
/ 100
Emerging

This is a Postgres extension that helps you find similar data points in your database by comparing their 'vector' representations. You input data along with its numerical vector, and it outputs the most similar items based on different distance calculations. Data scientists, machine learning engineers, and developers building AI-powered applications that rely on similarity searches would use this.

2,158 stars. No commits in the last 6 months.

Use this if you need fast, scalable vector similarity search capabilities directly within your PostgreSQL database, especially for applications like recommendation systems or semantic search.

Not ideal if your application doesn't use PostgreSQL as its primary database or if you only need basic database functions without vector search.

vector-database similarity-search recommendation-systems semantic-search data-retrieval
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

2,158

Forks

83

Language

Rust

License

Apache-2.0

Last pushed

Feb 26, 2025

Commits (30d)

0

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