Multi-source data patterns for modern RAG apps

This session explores patterns for modern RAG applications to bring together diverse data sources such as Blob Storage, SQL, Cosmos DB, and PostgreSQL.
We will work through three primary patterns: indexing all data to conform to same schema (with Azure AI Search), consolidating into a single store (with Fabric), and finally, using multi-agent orchestrations.

Follow along:

• Create agentic AI solutions by using Azure AI Foundry

📌 Learn more about the series here

Pre-requisites:

• Join the Hackathon
• Learning Resources