Scalable Vector Search in Postgres

Scalable Vector Search in Postgres

VectorChord (vchord) is a PostgreSQL extension designed for scalable, high-performance, and disk-efficient vector similarity search, and serves as the successor to pgvecto.rs.

QUICK START

Build AI Applications at Scale

Build AI Applications at Scale

-- create table with a vector column
CREATE TABLE items (
  id bigserial PRIMARY KEY,
  embedding vector(3) NOT NULL -- 3 dimensions
);

-- insert values
INSERT INTO items (embedding)
VALUES ('[1,2,3]'), ('[4,5,6]');

-- create index
CREATE INDEX ON items USING vectors (embedding vector_l2_ops);

-- query the similar embeddings
SELECT * FROM items ORDER BY embedding <-> '[3,2,1]' LIMIT 5

Product Features

Revolutionize Vector Search, not Database.

Revolutionize Vector Search, not Database.

Better Filtering

Apply any filter conditions and join with other tables, achieving high recall and low latency, a distinctive edge over other vector databases.

Better Filtering

Apply any filter conditions and join with other tables, achieving high recall and low latency, a distinctive edge over other vector databases.

Better Filtering

Apply any filter conditions and join with other tables, achieving high recall and low latency, a distinctive edge over other vector databases.

External Index Build

Offloads indexing to a powerful machine, enabling faster processing and efficient handling of large-scale datasets on a single system.

External Index Build

Offloads indexing to a powerful machine, enabling faster processing and efficient handling of large-scale datasets on a single system.

External Index Build

Offloads indexing to a powerful machine, enabling faster processing and efficient handling of large-scale datasets on a single system.

PGVector-Compatible

A fully compatible solution designed to seamlessly replace PGVector, offering enhanced performance, scalability, and advanced vector search capabilities.

PGVector-Compatible

A fully compatible solution designed to seamlessly replace PGVector, offering enhanced performance, scalability, and advanced vector search capabilities.

PGVector-Compatible

A fully compatible solution designed to seamlessly replace PGVector, offering enhanced performance, scalability, and advanced vector search capabilities.

Hybrid Search

Leverage the full-text search functionality in PostgreSQL with vectorchord to search text and vector data within a single query.

Hybrid Search

Leverage the full-text search functionality in PostgreSQL with vectorchord to search text and vector data within a single query.

Hybrid Search

Leverage the full-text search functionality in PostgreSQL with vectorchord to search text and vector data within a single query.

Faster, and Faster

4x faster than other postgres-based solutions.

Faster, and Faster

4x faster than other postgres-based solutions.

Faster, and Faster

4x faster than other postgres-based solutions.

Complete SQL Support

Full SQL support, enabling joins and filters without limitations or extra configuration.

Complete SQL Support

Full SQL support, enabling joins and filters without limitations or extra configuration.

Complete SQL Support

Full SQL support, enabling joins and filters without limitations or extra configuration.

VectorChord is 16x faster than pgvector for indexing and 14x faster for inserts. It efficiently handles billions of vectors on a single machine by offloading resource-intensive indexing to a powerful machine and querying on a smaller one.


USER TESTIMONIALS

Showcase with PGVecto.rs
Trusted by Many Open Source Projects

Showcase with PGVecto.rs
Trusted by Many Open Source Projects

© 2024 TensorChord Inc. All rights reserved.

© 2024 TensorChord Inc. All rights reserved.

© 2024 TensorChord Inc. All rights reserved.