blog.vectorchord.aiDo we really need a specialized vector database? (2023)Notice: This article, originally published in 2023, discusses the relevance and necessity of specialized vector databases, particularly in relation to Postgres and its capabilities. For further insights and discussions on this topic, please refer to ...Feb 18, 2025·13 min read
blog.vectorchord.aiVectorChord: Store 400k Vectors for $1 in PostgreSQLWe’re pleased to announce our new vector search extension for PostgreSQL, providing a highly cost-effective way to manage large vectors. Using VectorChord, you can achieve a QPS of 131 with 0.95 precision on 100 million 768-dimensional vectors for th...Dec 5, 2024·6 min read
blog.vectorchord.aiIntroducing PGVecto.rs Cloud - Scalable Vector Search in PostgreSQL, Now in the CloudIn 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 ex...Aug 2, 2024·2 min read
blog.vectorchord.aiMy binary vector search is better than your FP32 vectorsWithin the field of vector search, an intriguing development has arisen: binary vector search. This approach shows promise in tackling the long-standing issue of memory consumption by achieving a remarkable 30x reduction. However, a critical aspect t...Mar 22, 2024·6 min read
blog.vectorchord.aipgvector vs. pgvecto.rs in 2024: A Comprehensive Comparison for Vector Search in PostgreSQLpgvector and pgvecto.rs are both vector search extensions designed to enhance the capabilities of PostgreSQL. These extensions revolutionize the way vector search is performed within the database, providing scalable, low-latency, and hybrid-enabled s...Mar 19, 2024·7 min read