Pgvecto.rs

(Be the first to comment)
PGVecto.rs is a Postgres extension that enables scalable vector search, allowing you to build powerful similarity-based applications on top of your Postgres database.0
Visit website

What is Pgvecto.rs?

PGVecto.rs transcends traditional database boundaries, delivering powerful scalable vector search capabilities directly within your Postgres database. By implementing cutting-edge technologies and optimizing for both efficiency and functionality, this innovative extension enables the creation of sophisticated similarity-based applications. From enhanced filtering to extended vector lengths and binary vector search, PGVecto.rs guarantees high recall, low latency, and up to 4x faster performance compared to similar solutions. A revolutionary leap in AI-driven data search and management.

Key Features:

  1. Revolutionize Vector Search, not Database.PGVecto.rs integrates seamlessly with your current Postgres database, offering advanced similarity searches without the need for a separate data store.

  2. Better Filtering.Achieve high recall and low latency by applying any filter conditions and joining other tables, an edge unmatched by other vector databases.

  3. Extended Vector Length.Supports vectors up to 65535 dimensions, perfect for accommodating the complexities of today's AI models.

  4. Binary Vector Search.Utilize adaptive retrieval techniques for high accuracy at significantly reduced memory usage—up to 30 times less.

  5. Hybrid Search.Enhance search capabilities by combining full-text search with vector similarity search for an all-encompassing query.

Use Cases:

  1. An AI research team builds a content recommendation system by leveraging vector similarity search for more personalized user experiences.

  2. An e-commerce platform utilizes PGVecto.rs for visual search, enabling customers to find products similar to images they upload.

  3. A cybersecurity firm implements the technology for anomaly detection in network traffic, identifying threats based on pattern similarity.


Conclusion: 

PGVecto.rs stands out as a pivotal solution for optimizing vector similarity searches within your existing Postgres database. Enjoy unparalleled performance, scalability, and compatibility, all while unlocking the full potential of AI-driven applications. Start your free trial to experience the future of scalable vector search today!


More information on Pgvecto.rs

Launched
Pricing Model
Freemium
Starting Price
Global Rank
6355648
Follow
Month Visit
<5k
Tech used
Google Analytics,Google Tag Manager,Framer,Google Fonts,Gzip,HTTP/3,OpenGraph,HSTS

Top 5 Countries

100%
France

Traffic Sources

4.66%
1.01%
0.48%
14.26%
43.83%
34.93%
social paidReferrals mail referrals search direct
Source: Similarweb (Jun 2, 2025)
Pgvecto.rs was manually vetted by our editorial team and was first featured on 2024-08-06.
Aitoolnet Featured banner
Related Searches

Pgvecto.rs Alternatives

Load more Alternatives
  1. pgvector: An open-source vector similarity search tool for Postgres. Store vectors with data, support exact & approximate search, and perform distance calculations. Suitable for recommendation systems, image/text retrieval, and anomaly detection.

  2. pgvectorscale builds on pgvector with higher performance embedding search and cost-efficient storage for AI applications.

  3. VectorChord is a high-performance PostgreSQL extension for vector similarity search. Enhanced speed, scalability & affordability. Ideal for e-commerce, research & media.

  4. Build powerful AI applications with Supabase Vector. Store, query, and index vector embeddings using Postgres and Supabase's AI toolkit.

  5. Use managed or self-hosted vector databases to give LLMs the ability to work on YOUR data & context.