pgvector

#7 in Vector Database

N/A

Products on G2

Total reviews

3.8

Avg. star rating

PG Vector ranks #7 in Vector Database.
pgvector's 1 product span 1 category on G2.
Mid-Market is the largest segment among reviewers, at 50.0%.

Traffic & LLM citations

Monthly G2.com page views and citations by AI answer engines, summed across pgvector's products.

Page views and citations · pgvector

Source: G2 review data

Winning from

Based on reviewers who said they switched from another vendor's product.

ZILLIZ

1 switched

Key stats

—

Mid-Market

N/A

Adoption by company size

Segment	Share of reviews
Small Business	41.7%
Mid-Market	50.0%
Enterprise	8.3%

Quarterly history

Quarter	Total reviews	Avg. rating

About pgvector

Pgvector is an open-source PostgreSQL extension designed to handle vector similarity searches efficiently. It enables users to store, index, and query embeddings—numeric vector representations of data—within a PostgreSQL database. This makes it particularly useful for machine learning applications, such as those involving natural language processing or image recognition, where comparing embeddings for similarity is required. The extension supports various distance metrics, including Euclidean, cosine, and inner product, to facilitate these searches. Pgvector can be found on GitHub at https://github.com/pgvector/pgvector, where it is actively maintained and includes comprehensive documentation for installation and usage.

Products

PG Vector

by pgvector · 12 reviews

3.8

Showing 1 of 1

Similar vendors

View all →

MongoDB

New York · 2 products on G2

SingleStore

San Francisco, CA · 1 product on G2

ZILLIZ

Redwood City, US · 2 products on G2