vector-database on Vchord

VectorChord 1.1: Native 4/8 Bit Vector Types and Per-Index Query Defaults

Sat, 14 Feb 2026 00:00:00 +0000

We’re excited to announce the release of VectorChord 1.1 as we kick off the new year of horse.

VectorChord 1.0 was a milestone for Postgres-native vector search: it made large-scale indexing fast enough to feel like iteration, not an outage. In 1.1, we’re building on that foundation with RaBitQ8: A new vector type that delivers 4x storage savings and faster search speeds compared to float32, all with less than 1% recall loss. Paired with RaBitQ4 and more composable query control, VectorChord 1.1 is ready for your most demanding production workloads.

Scaling Vector Search to 1 Billion on PostgreSQL

Thu, 15 Jan 2026 00:00:00 +0000

For teams trying to run vector search at billion scale themselves, the challenge is often not raw performance, but practicality. Many solutions designed for billion-scale, low-latency vector search come with practical constraints, requiring tradeoffs that affect how easily they can be adopted.

Most existing approaches fall into one of a few categories:

Operationally complex: Powered by multi-node distributed system that are difficult to manage, operate, and maintain over time.
Build-time prohibitive: Requiring long index build times, which makes re-indexing costly and easily impacts production workloads.
Memory heavy: Depending on up to 1 TB of memory on a single machine, making the hardware significantly less affordable for most teams.

VectorChord-BM25: Introducing pg_tokenizer—A Standalone, Multilingual Tokenizer for Advanced Search

Wed, 02 Apr 2025 00:00:00 +0000

We’re excited to announce the release of VectorChord-BM25 version 0.2, our PostgreSQL extension designed to bring advanced BM25-based full-text search ranking capabilities directly into your database!

VectorChord-BM25 allows you to leverage the power of the BM25 algorithm, a standard in information retrieval, without needing external search engines. This release marks a significant step forward, focusing heavily on enhancing the core text processing component: tokenization, unlocking greater flexibility and significantly improved multilingual support.

Introducing PGVecto.rs Cloud - Scalable Vector Search in PostgreSQL, Now in the Cloud

Fri, 02 Aug 2024 00:00:00 +0000

In an exciting development, we are thrilled to announce the launch of PGVecto.rs Cloud - bringing the power of scalable vector search to your PostgreSQL databases, now available as a fully managed cloud service.

PGVecto.rs is a pioneering Postgres extension that enables high-performance vector search, empowering developers to build advanced similarity-based applications on top of their existing Postgres infrastructure. With PGVecto.rs Cloud, you can now unlock the benefits of this transformative technology without the overhead of managing the extension yourself.