Scaling Vector Search to 1 Billion on PostgreSQL
Fast Indexing in 2 Hours Using One Machine
Jan 15, 20266 min read1.3K
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Articles tagged with #databases
VectorChord: Cost-Efficient Upload & Search of 400 Million Vectors on AWS
In this article, we will describe one method for uploading, indexing, and searching a big dataset of vector data in a cost-efficient manner using the real-world LAION-400M dataset and the VectorChord extension in PostgreSQL. We're attempting to show ...
May 30, 20258 min read408
All-in-one VectorChord Suite: Building Production-Ready RAG Solutions Directly in PostgreSQL
Retrieval-Augmented Generation (RAG) is revolutionizing our interaction with vast datasets and language models. RAG systems offer more precise, contextually aware, and current answers by retrieving pertinent information before generating responses. N...
Apr 29, 20255 min read247
Vector Search Over PostgreSQL: A Comparative Analysis of Memory and Disk Solutions
Introduction: real-world challenges Specialized vector databases aren’t always needed. With PostgreSQL extensions like pgvector, pgvectorscale, VectorChord (which evolved from pgvecto.rs), you get vector search plus relational power—no extra infras...
Apr 3, 202511 min read2.1K
VectorChord-BM25: Introducing pg_tokenizer—A Standalone, Multilingual Tokenizer for Advanced Search
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...
Apr 2, 20256 min read692
Vector Search at 10,000 QPS in PostgreSQL with VectorChord
VectorChord is a PostgreSQL extension designed for scalable, high-performance, and disk-efficient vector similarity search, and serves as the successor to pgvecto.rs. In our previous blog post, we showed that with just $250 per month, VectorChord ach...
Feb 27, 20256 min read1.6K