tensorchord/pgvecto.rs
Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
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.
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2,158
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83
Language
Rust
License
Apache-2.0
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Last pushed
Feb 26, 2025
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