# Benchmarking vector indexes

DevFeed: [Benchmarking vector indexes](<https://devfeed.tech/articles/benchmarking-vector-indexes-14092.md>)

Original publisher: [Read original article](<https://www.percona.com/blog/benchmarking-vector-indexes/>)

Author: Evgeniy Patlan

Published: 2026-08-27T13:35:32Z

Content type: article

Language: en

Sources: [Blog - Percona](<https://devfeed.tech/sources/blog-percona.md>)

Topics: [benchmarking](<https://devfeed.tech/topics/benchmarking.md>), [Ground truth / benchmark quality](<https://devfeed.tech/topics/ground-truth-benchmark-quality.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [ann](<https://devfeed.tech/topics/ann.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Sorting](<https://devfeed.tech/topics/sorting.md>)

Tags: [ai-vector](<https://devfeed.tech/tags/ai-vector.md>), [ann](<https://devfeed.tech/tags/ann.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [benchmarking](<https://devfeed.tech/tags/benchmarking.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [blog](<https://devfeed.tech/tags/blog.md>), [blog-post](<https://devfeed.tech/tags/blog-post.md>), [data](<https://devfeed.tech/tags/data.md>), [database-performance](<https://devfeed.tech/tags/database-performance.md>), [database-trends](<https://devfeed.tech/tags/database-trends.md>), [databases](<https://devfeed.tech/tags/databases.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [index](<https://devfeed.tech/tags/index.md>), [measurements](<https://devfeed.tech/tags/measurements.md>), [model](<https://devfeed.tech/tags/model.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [percona](<https://devfeed.tech/tags/percona.md>), [points](<https://devfeed.tech/tags/points.md>), [report](<https://devfeed.tech/tags/report.md>), [run](<https://devfeed.tech/tags/run.md>), [search](<https://devfeed.tech/tags/search.md>), [sorting](<https://devfeed.tech/tags/sorting.md>), [vector-search](<https://devfeed.tech/tags/vector-search.md>), [vectorsearch](<https://devfeed.tech/tags/vectorsearch.md>)

## AI overview

This article explains how Percona's vector-bench measures vector indexes by building database engines from pinned versions, running them in identical containers with the same data and hardware, and comparing consistent measurements. It describes embeddings, exact search, approximate nearest neighbour search, and ground truth as the brute-force reference needed to evaluate index accuracy.

## Source excerpt

Nearly every database has vector search now, and every one of them has a blog post with a big number in it. Almost none of those numbers can be checked, because the thing that makes them meaningful is usually missing. We built a vector-bench to stop guessing. You name the engines you want, build them ... Continued The post Benchmarking vector indexes appeared first on Percona.