Core engineer at TensorChord focusing on high-dimensional vector indexing (vchordrq and vchordg), SIMD acceleration, and billion-scale benchmarks. Follow on GitHub (@cutecutecat).
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VectorChord 1.1: Native 4/8 Bit Vector Types and Per-Index Query Defaults
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 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, …
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Scaling Vector Search to 1 Billion on PostgreSQL
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 …
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 …
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How We Made 100M Vector Indexing in 20 Minutes Possible on PostgreSQL
1. Introduction In the past few months, we’ve heard consistent feedback from users and partners: while our goal of providing a scalable, high-performance alternative to pgvector is well-received, index build time and memory usage remain major …
1. Introduction In the past few months, we’ve heard consistent feedback from users and partners: while our goal of providing a scalable, high-performance alternative to pgvector is well-received, index build time and memory usage remain major …
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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 …
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 …
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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 …
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 …
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PostgreSQL Full-Text Search: Fast When Done Right (Debunking the Slow Myth)
You might have come across discussions or blog posts suggesting that PostgreSQL’s built-in full-text search (FTS) struggles with performance compared to dedicated search engines or specialized extensions. A notable recent example comes from Neon’s …
You might have come across discussions or blog posts suggesting that PostgreSQL’s built-in full-text search (FTS) struggles with performance compared to dedicated search engines or specialized extensions. A notable recent example comes from Neon’s …
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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 …
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 …
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ARM + VectorChord: Affordable, Fast Vector Search
ARM64 is quietly becoming a go-to for cost-effective cloud servers, especially on AWS. With ARM-based processors like the Graviton series (Graviton3 and Graviton4), you can save a good chunk of money without sacrificing performance. These ARM64 …
ARM64 is quietly becoming a go-to for cost-effective cloud servers, especially on AWS. With ARM-based processors like the Graviton series (Graviton3 and Graviton4), you can save a good chunk of money without sacrificing performance. These ARM64 …
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VectorChord: Store 400k Vectors for $1 in PostgreSQL
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 …
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 …
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Unleash the power of sparse vector
In the past, hybrid search combined two search methods: traditional keyword-based search and vector-based similarity search. However, sparse vector can act as a substitute for keyword search, unlocking the full potential of the data pipeline with …
In the past, hybrid search combined two search methods: traditional keyword-based search and vector-based similarity search. However, sparse vector can act as a substitute for keyword search, unlocking the full potential of the data pipeline with …