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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 the top 10 queries. This setup costs only $250 monthly and can be hosted on a single machine.
This means you can store 400k vectors for only $1, allowing you to save significantly: 6x more vectors compared to Pinecone (storage optimized instance) and 26x more than pgvector/pgvecto.rs for the same price.
In the monthly cost comparison for storing vectors, based on MyScale benchmark data, the chart highlights how VectorChord emerges as an affordable option, priced at just $247 for storing 100 million vectors. In contrast, Pinecone, despite its optimized storage, costs $1,600 per month, while Qdrant is priced at $4,374. pgvector/pgvecto.rs has a considerably higher cost of $6,580.
GitHub — tensorchord/VectorChord: Scalable, Fast, and Disk-friendly Vector search in Postgres
Scalable, Fast, and Disk-friendly Vector search in Postgres — tensorchord/VectorChord
