---
title: "Discussion on \"How I Built a Vector Database from Scratch in Python\" | Hashnode"
description: "Discussion on \"How I Built a Vector Database from Scratch in Python\". Quantara, a lightweight local vector database built for speed and quick experimentation\nModern AI applications rely heavily on vector databases for semantic search, RAG pipelines, recommendation syste"
url: "https://hashnode.com/posts/how-i-built-a-vector-database-from-scratch-in-python/6a22c5ef04af886e9e9e8487"
---

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# [How I Built a Vector Database from Scratch in Python](https://quantara-vdb.hashnode.dev/how-i-built-a-vector-database-from-scratch-in-python?utm_source=hashnode&utm_medium=feed)

Quantara, a lightweight local vector database built for speed and quick experimentation Modern AI applications rely heavily on vector databases for semantic search, RAG pipelines, recommendation syste

Jun 5 · 8 min read · quantara-vdb.hashnode.dev  
Updated Jun 10  
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## Written by

[Abhijeet Rajhans](https://hashnode.com/@abhijeetrajhans)

@abhijeetrajhans · Bengaluru, India

  
[View profile](https://hashnode.com/@abhijeetrajhans)

I Learn by Building.

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