I am an AI infrastructure software engineer, and my current focus is on pgvecto.rs, a vector database implemented in Postgres.
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Feb 18, 2025 · 13 min read · 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 ...
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Dec 5, 2024 · 6 min read · We’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...
DD1Load commented
Aug 2, 2024 · 2 min read · 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 ex...
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Mar 22, 2024 · 6 min read · Within 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...
RPPPSEmma and 5 more commented
Mar 19, 2024 · 7 min read · pgvector 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...
JJosh commented
