New AI integration for your SQL databases | RAG, Vector Search, Admin Automation
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,...
13 Minuten
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vor 1 Jahr
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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