Episode
Vector Support Public Preview in Azure SQL Database and Managed Instance | Data Exposed
with Anna Hoffman, Pooja Kamath
Join Anna Hoffman , Pooja Kamath and Amit Khandelwal as they explore the exciting Public Preview of Native vector support in Azure SQL Database and SQL Managed Instance.
Azure SQL provides a dedicated Vector data type that simplifies the creation, storage, and querying of vector embeddings directly within a relational database. This eliminates the need for separate vector databases and related integrations, increasing the security of your solutions while reducing the overall complexity.
This episode highlights the features and practical use cases, demonstrating how to leverage Azure SQL for building AI-ready applications. It includes sneak peeks into demos such as Resume matching (Document RAG) and LangChain integration, showcasing the real-world applications of vector functions. Additionally, discover how these features are now available in SQL on Linux, expanding the versatility and reach of Azure SQL from ground SQL 2025 on Windows and Linux to cloud solutions like SQL DB and SQL MI, and even to Fabric.
Chapters
- 00:00 - Introduction
- 03:57 - Demo 1: Vector Support
- 14:15 - Demo 2: Smart Resume Matching
- 18:00 - Demo 3: Langchain with SQL Vector store
- 19:45 - Getting started
Recommended resources
- To learn everything about Native Vector Support in SQL, take a look at the official documentation
- You can also use this GitHub Repo full of samples
- If you are looking for end-to-end samples
- We’d love to hear your thoughts on this feature! Please share how you’re using it in the comments below and let us know any feedback or suggestions for future improvements. If you have specific requests, don’t forget to submit them through the Azure SQL and SQL Server feedback portal, where other users can also contribute and help us prioritize future developments.
Related episodes
- Data Exposed | Microsoft Learn
- To check out even more Data Exposed episodes, see our Data Exposed playlist on YouTube
- Microsoft Azure SQL
- Microsoft SQL Server
- Microsoft Developer
Connect
- Anna Hoffman | Twitter/X: @AnalyticAnna
- AzureSQL | Twitter/X: @azuresqltw
Join Anna Hoffman , Pooja Kamath and Amit Khandelwal as they explore the exciting Public Preview of Native vector support in Azure SQL Database and SQL Managed Instance.
Azure SQL provides a dedicated Vector data type that simplifies the creation, storage, and querying of vector embeddings directly within a relational database. This eliminates the need for separate vector databases and related integrations, increasing the security of your solutions while reducing the overall complexity.
This episode highlights the features and practical use cases, demonstrating how to leverage Azure SQL for building AI-ready applications. It includes sneak peeks into demos such as Resume matching (Document RAG) and LangChain integration, showcasing the real-world applications of vector functions. Additionally, discover how these features are now available in SQL on Linux, expanding the versatility and reach of Azure SQL from ground SQL 2025 on Windows and Linux to cloud solutions like SQL DB and SQL MI, and even to Fabric.
Chapters
- 00:00 - Introduction
- 03:57 - Demo 1: Vector Support
- 14:15 - Demo 2: Smart Resume Matching
- 18:00 - Demo 3: Langchain with SQL Vector store
- 19:45 - Getting started
Recommended resources
- To learn everything about Native Vector Support in SQL, take a look at the official documentation
- You can also use this GitHub Repo full of samples
- If you are looking for end-to-end samples
- We’d love to hear your thoughts on this feature! Please share how you’re using it in the comments below and let us know any feedback or suggestions for future improvements. If you have specific requests, don’t forget to submit them through the Azure SQL and SQL Server feedback portal, where other users can also contribute and help us prioritize future developments.
Related episodes
- Data Exposed | Microsoft Learn
- To check out even more Data Exposed episodes, see our Data Exposed playlist on YouTube
- Microsoft Azure SQL
- Microsoft SQL Server
- Microsoft Developer
Connect
- Anna Hoffman | Twitter/X: @AnalyticAnna
- AzureSQL | Twitter/X: @azuresqltw
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