Overview:

Data lives everywhere—S3 buckets, SharePoint sites, Salesforce records, Slack channels, and dozens of other systems. Before you can partition, chunk, embed, or do anything useful with AI, you need connectors to bring that data together. And then you need connectors to write out the data. But building connectors that actually work in production is far more complex than it appears: authentication schemes differ wildly across platforms, APIs change without warning, and edge cases multiply at scale.

Technical Details:

In this session, we’ll walked through:

• The four-phase architecture: Index → Download → Stage → Upload
• How source connectors discover and retrieve documents from external systems
• How destination connectors prepare and deliver data to its final home
• End-to-end testing strategies for maintaining reliability across 50+ integrations