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pgvecto.rs

tensorchord/pgvecto.rs

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

67views this month

2.2k stars86 forksLast push Feb 26, 2025 Rust Apache-2.0

Decision brief

pgvecto.rs is a vector database extension for PostgreSQL, built in Rust, that supports scalable and low-latency vector search operations, including specific vector data types and distance calculations.

Good fit when

  • When you need to integrate vector search capabilities directly into an existing PostgreSQL database, as pgvecto.rs extends PostgreSQL with vector data types and distance calculations.
  • If you require a solution that supports a wide range of dimensions for vector data, from 1 to 65535, as pgvecto.rs allows for flexible vector data type definitions.

Avoid when

  • If your application does not require integration with PostgreSQL, as pgvecto.rs is specifically designed as an extension for PostgreSQL and does not offer standalone vector search capabilities.
  • When you need a solution that supports vector dimensions beyond 65535, as pgvecto.rs is limited to this maximum dimension size.

Observed Sep 18, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Dormant (568d since push)
As of Sep 18, 2026
Provenance
Not a fork · Organization account
As of Sep 18, 2026
Security (OSV)
No lockfile
As of Sep 18, 2026

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Backing

Company context for TensorChord. Display-only - separate from trust and ranking.

Company
TensorChord·GitHub org profile·Jul 11, 2026
Commercial model
Pure OSS·GitHub org profile (public repos)·Jul 11, 2026

Install

cargo add pgvecto.rs
crates.io

How it fits your stack(7)

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Evidence and technical details

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Overview

pgvecto.rs is a vector database extension for PostgreSQL that enables scalable and low-latency vector search operations, supporting vector data types and distance calculations.

Capability facts

Languages
rust

Source: github.language · Sep 18, 2026

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README

Quick start For new users, we recommend using the Docker image to get started quickly. Then you can connect to the database using the command line tool. The default username is , and the default password is . Run the following SQL to ensure the extension is enabled. pgvecto.rs in...

For agents

This page has a .md twin and JSON over the API.

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