Microsoft Developer presents an overview of vector indexing in Azure SQL and Fabric SQL with DiskANN, demonstrating how AI and machine learning are integrated for powerful data solutions.

DiskANN: An Overview of Vector Indexing in Azure SQL and Fabric SQL

In this episode of Data Exposed, presented by Microsoft Developer, you'll learn about:

• What is DiskANN?

  • DiskANN is an advanced algorithm used for efficient vector indexing within Microsoft SQL engines.

• Vector Indexing in Azure SQL and Fabric SQL

  • Demonstrates integrating vector indexes into SQL Server, enabling powerful AI and machine learning functionalities directly within your database.
  • Examples cover creating and using vector indexes.

• Public Preview Limitations

  • Key limitations that currently exist while the feature is in Public Preview are reviewed, ensuring viewers understand known constraints.

• Innovative AI Solutions

  • Presents creative solutions enabled by having AI capabilities, vector search, and data management unified inside the SQL Server engine.

• Demos

  • Hands-on demonstrations on:
    • Creating vector indexes
    • Running vector searches
    • Leveraging search to build intelligent data applications

• Resources and Further Learning

  • Provided links and resources to additional learning, documentation, and community channels:
    • SQL AI resources
    • Awesome Azure SQL AI
    • Microsoft Developer YouTube

Key Takeaways:

• Vector search support is now built into Azure SQL and Fabric SQL, powered by the DiskANN algorithm.
• Integration of AI and ML workflows with traditional SQL data unlocks new hybrid scenarios for developers and data professionals.
• Current limitations are discussed so users can plan for future production use.

Connect:

• Anna Hoffman on Twitter
• AzureSQL on Twitter

For more SQL and AI tutorials, follow the official Microsoft Azure SQL channels.