release

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, …

Two years ago, when we published the very first pgvecto.rs blog post, we made a bet: Postgres is the best place to do vector search. Since then we’ve been iterating on that bet — from VBASE with filtered vector search, to longer vector support, to …

We’re thrilled to announce the release of VectorChord 0.5! This release marks a significant step forward in our mission to provide more flexible, powerful, and controllable vector search capabilities. In the 0.5 release, we’re introducing two major …

We’re excited to announce the release of VectorChord 0.4, a significant update that enhances high-performance vector search within PostgreSQL. We believe this release pushes the boundaries of what’s possible for vector search in PostgreSQL, …

We’re thrilled to announce the release of VectorChord 0.3, a major milestone that significantly boosts the performance and applicability of advanced vector search techniques directly within your Postgres database! Building on our 0.2 release, which …

Today, we’re thrilled to share VectorChord 0.2—a release shaped by community feedback and designed to tackle the evolving challenges of vector search in PostgreSQL. %[https://github.com/tensorchord/VectorChord/] Optimized Storage Layout: Supporting …

We are excited to announce the release of pgvecto.rs 0.2, a significant milestone in the journey of bridging the gap between relational queries and vector search in PostgreSQL. This update brings together the power of both worlds, offering enhanced …