---
title: "Discussion on \"Oracle Database 23ai: Creating Vectors and Understanding Distance Metrics for Similarity Search\" | Hashnode"
description: "Discussion on \"Oracle Database 23ai: Creating Vectors and Understanding Distance Metrics for Similarity Search\". Oracle Database 23ai introduces native vector capabilities that enable semantic search directly within SQL. Understanding how to create vectors, calculate distances, and choose appropriate metrics is"
url: "https://hashnode.com/posts/oracle-database-23ai-creating-vectors-and-understanding-distance-metrics-for-similarity-search/69ae7cb145e043be6265edb2"
---

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# [Oracle Database 23ai: Creating Vectors and Understanding Distance Metrics for Similarity Search](https://ryan-giggs.hashnode.dev/oracle-database-23ai-creating-vectors-and-understanding-distance-metrics-for-similarity-search?utm_source=hashnode&utm_medium=feed)

Oracle Database 23ai introduces native vector capabilities that enable semantic search directly within SQL. Understanding how to create vectors, calculate distances, and choose appropriate metrics is

Mar 9 · 12 min read · ryan-giggs.hashnode.dev  
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-   [#oracle-23ai](https://hashnode.com/tag/oracle-23ai)
-   [#vectorsearch](https://hashnode.com/tag/vectorsearch)
-   [#vector-similarity](https://hashnode.com/tag/vector-similarity)

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[Ryan Giggs](https://hashnode.com/@Derrick-Ryan-Giggs)

@Derrick-Ryan-Giggs · Eldoret, Kenya

  
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