@@ -29,11 +29,9 @@ Samples are made available via Jupyter Notebook, natively supported by GitHub an
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These samples and workshops show how you can call Azure OpenAI to get text embeddings and then find similar text using cosine similarity.
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- [ Vector similarity search with Azure SQL & Azure OpenAI] ( https://github.com/azure-samples/azure-sql-db-openai )
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- [ Build new AI applications with Azure SQL Database] ( https://github.com/Azure-Samples/sql-ai-embeddings-workshop )
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- [ Use Azure SQL DB and REST endpoints to enable AI content moderation] ( https://github.com/AzureSQLDB/ContentSafetyLab )
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+ - [ Vector similarity search with Azure SQL & Azure OpenAI] ( https://github.com/azure-samples/azure-sql-db-openai )
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+ - [ Build new AI applications with Azure SQL Database] ( https://github.com/Azure-Samples/sql-ai-embeddings-workshop )
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+ - [ Use Azure SQL DB and REST endpoints to enable AI content moderation] ( https://github.com/AzureSQLDB/ContentSafetyLab )
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### [ Azure Functions] ( ./azure-functions.ipynb )
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