Microsoft FoundryAI & Agents
Building An Automl Pipeline For Vector Data In Azure SQL
This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. This session demonstrates how to build an AutoML-driven pipeline inside Azure SQL to process and optimize vector data. Learn how to automatically profile datasets, select the best embedding model and parameters, and improve retrieval accuracy using adaptive evaluation and feedback loops.
Key takeaways
- model is is the best for our scenario?
- We can embed data with any LLM Embedding Model with
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