Benchmarks

Price, throughput, latency, and recall benchmarks against pgvector, pgvectorscale, and Elasticsearch.

Price

Using VectorChord, you can achieve a QPS of 131 with 0.95 precision on 100 million 768-dimensional vectors for the top 10 queries. This setup costs only $250 mo

Performance

Here we present a comprehensive benchmark comparing our implementation of VectorChord with other vector databases, focusing on QPS and scalability. If you are

Benchmarks with pgvector

In this section, we compare VectorChord with pgvector, a PostgreSQL extension that provides vector similarity search capabilities. We will focus on four key met

Benchmarks with Elasticsearch

Here we present a comprehensive benchmark comparing our implementation of VectorChord-BM25 with ElasticSearch, focusing on two key metrics: QPS (Queries Per Sec

Benchmarks with pgvectorscale

In this section, we compare VectorChord with pgvectorscale, a PostgreSQL extension that provides vector similarity search capabilities. We will focus on four ke