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‎README.md

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---
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page_type: sample
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languages:
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- sql
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products:
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- azure-openai
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- azure-sql-database
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urlFragment: azure-sql-db-openai
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name: Vector similarity search with Azure SQL & Azure OpenAI
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description: |
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Use Azure OpenAI from Azure SQL database to get the vector embeddings of any choosen text, and then calculate the cosine similarity to find related topics
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# Vector similarity search with Azure SQL & Azure OpenAI
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This example shows how to use Azure OpenAI from Azure SQL database to get the vector embeddings of any choosen text, and then calculate the [cosine similarity](https://learn.microsoft.com/en-us/azure/storage/common/storage-sas-overview) against the Wikipedia articles (for which vector embeddings have been already calculated,) to find the articles that covers topics that are close - or similar - to the provided text.

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