Overview:

Documents in your knowledge base don't stay static. Files get updated, new versions replace old ones, and content evolves over time.

This session explored incremental processing, the approach that lets RAG systems stay current by focusing on what's new or changed rather than reprocessing everything. We looked at how connectors worked with different sources to track document evolution, and what happened in the pipeline when files are added, modified, or updated.

We showed a live demo of incremental sync with a set of evolving documents. We also discussed different approaches to versioning: keeping only the latest version versus maintaining historical snapshots, and what that meant for retrieval.

What We Covered:

• What incremental processing means — The difference between full reprocessing and delta-aware syncs, and scenarios where each approach makes sense
• How connectors track changes — What's happening behind the scenes when systems detect new or modified documents across different storage platforms
• A practical example — A Live walkthrough with real documents
• When this approach matters — Use cases where incremental processing becomes important, from regularly updated knowledge bases to large-scale document repositories