Overview:

Enterprise knowledge doesn't live in one place, it's scattered across Azure Blob Storage, OneDrive, Outlook, Slack, and a dozen other systems. And it doesn't come in one format either: PDFs, PowerPoints, Excel spreadsheets, emails, handwritten notes, scanned contracts. Most RAG tutorials assume you're working with clean markdown files from a single source. But production RAG systems? They need to handle the chaos.

This webinar shows you how to build RAG pipelines that work with real enterprise data. You'll see how to connect to multiple sources simultaneously, process heterogeneous file types intelligently, and make everything queryable through a single interface. We walk through a live example that pulls from Azure storage, OneDrive folders, and Outlook inboxes, then turns it all into a unified knowledge base your AI can actually understand—charts, tables, emails, and all.

Technical Details:

In this session, we walked through:

• Why the "universal format" approach is the only scalable way to handle enterprise data heterogeneity and how Unstructured transforms PDFs, PowerPoints, emails, and Excel files into a consistent structure that LLMs can query
• How to architect multi-source RAG pipelines using workflow orchestration — connecting Azure Blob Storage, OneDrive, and Outlook simultaneously while maintaining data lineage and metadata
• The enrichment layer that makes heterogeneous data truly retrievable — using VLMs to generate descriptions of charts and diagrams and summarize tables, so your RAG system understands visual content and structured data, not just text
• Production considerations for heterogeneous RAG systems — handling incremental updates, and debugging retrieval quality when data comes from everywhere