Author: Microsoft Mechanics - Bewertung: 1x - Views:42
Check out new AI integrations for your Azure SQL databases. With Retrieval Augmented Generation, you can bridge structured data with generative AI, enhancing natural language queries across applications. With advanced vector-based semantic search, discover precise insights tailored to your data, while Copilot in Azure streamlines troubleshooting and T-SQL query authoring. Optimize workflows, personalize responses, and unlock new levels of efficiency in SQL-driven AI applications.
Accelerate performance troubleshooting and complex query authoring tasks with Copilot in Azure. Quickly diagnose database issues and receive expert recommendations for optimization, ensuring optimal performance and reliability. Seamlessly traverse hierarchies within tables and generate intricate queries with ease, saving time and resources.
Bob Ward, Azure Principal Architect, shows how to unleash the full potential of your SQL data, driving innovation and intelligence across your applications.
► QUICK LINKS:
00:00 - AI and Azure SQL
01:40 - Using T-SQL for search
02:30 - Using Azure AI Search
03:17 - Vector embeddings and skillsets
04:08 - Connect your SQL data to an AI app
05:44 - Test it in Azure OpenAI Studio playground
07:22 - Combine native JSON data type in SQL
08:30 - Hybrid search
09:56 - Copilot in Azure: Performance troubleshooting
11:11 - Copilot in Azure: Query authoring
12:24 - Permissions
12:40 - Wrap up
► Link References
For building AI apps, check out https://aka.ms/sqlai
Try out new copilot experiences at https://aka.ms/sqlcopilot
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#Copilot #SQL #Azure #VectorSearch