---
title: "Discussion on \"Mathematical intuition behind Dot product & Cosine similarity in vector databases\" | Hashnode"
description: "Discussion on \"Mathematical intuition behind Dot product & Cosine similarity in vector databases\". Learn dot product and cosine similarity for vector databases, focusing on foundational concepts and calculation methods"
url: "https://hashnode.com/posts/dot-product-and-cosine-similarity/66cb9160967ec01005cb3ab3"
---

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# [Mathematical intuition behind Dot product & Cosine similarity in vector databases](https://www.azureguru.net/dot-product-and-cosine-similarity?utm_source=hashnode&utm_medium=feed)

Learn dot product and cosine similarity for vector databases, focusing on foundational concepts and calculation methods

Aug 25, 2024 · 5 min read · azureguru.net  
Updated Sep 10, 2024  
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-   [#cosine](https://hashnode.com/tag/cosine)
-   [#dot-product](https://hashnode.com/tag/dot-product)
-   [#vector-database](https://hashnode.com/tag/vector-database)
-   [#vectorsearch](https://hashnode.com/tag/vectorsearch)
-   [#vector-embeddings](https://hashnode.com/tag/vector-embeddings)

## Written by

[Sachin Nandanwar](https://hashnode.com/@SachinNandanwar)

@SachinNandanwar

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

From Synapse Analytics, Power BI, Spark, Microsoft Fabric,ASP.NET Core and recently Agentic AI on .NET I try to explore, learn and share all aspects of Microsoft Data Stack in this blog.

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