---
title: "Discussion on \"How We Made 100M Vector Indexing in 20 Minutes Possible on PostgreSQL\" | Hashnode"
description: "Discussion on \"How We Made 100M Vector Indexing in 20 Minutes Possible on PostgreSQL\". 1. Introduction\nIn 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 concern..."
url: "https://hashnode.com/posts/how-we-made-100m-vector-indexing-in-20-minutes-possible-on-postgresql/692fff1a9f469dc87a81ed8a"
---

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Discussion

# [How We Made 100M Vector Indexing in 20 Minutes Possible on PostgreSQL](https://blog.vectorchord.ai/how-we-made-100m-vector-indexing-in-20-minutes-possible-on-postgresql?utm_source=hashnode&utm_medium=feed)

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 concern...

Dec 3, 2025 · 13 min read · blog.vectorchord.ai  
Updated Dec 17, 2025  
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-   [#vectorsearch](https://hashnode.com/tag/vectorsearch)
-   [#postgresql](https://hashnode.com/tag/postgresql)
-   [#pgvector](https://hashnode.com/tag/pgvector)
-   [#vectorchord](https://hashnode.com/tag/vectorchord)
-   [#performance-optimization](https://hashnode.com/tag/performance-optimization)
-   [#vector-similarity](https://hashnode.com/tag/vector-similarity)
-   [#vector-database](https://hashnode.com/tag/vector-database)
-   [#k-means-clustering](https://hashnode.com/tag/k-means-clustering)
-   [#infrastructure](https://hashnode.com/tag/infrastructure)

## Written by

[Junyu Chen](https://hashnode.com/@lenery)

@lenery

  
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