Creating a robust autonomous Agentic AI is no easy feat. Over the past few months, we’ve encountered unexpected challenges during our development journey. Here’s what we discovered:
- Ingestion Drift: We initially believed issues lay with embeddings or the retriever, but it turns out the root cause was often upstream ingestion problems.
- Common Issues Noted:
- PDFs changing extraction outcomes due to minor template tweaks
- Heading structures collapsing or shifting
- Hidden characters disrupting tokens
- Document updates not following re-ingestion protocols
- Inconsistent outputs from different converters
Tracking weekly variations in extraction output revealed subtleties that were otherwise unnoticed. Even steadfast extractor versions faced drift from mixed-format sources.
Curious if others in the AI space have seen similar ingestion stability challenges.
How do you manage consistency in your production RAG/Agentic AI systems?
Let’s connect and share insights! Comment below or share this post to spark a discussion!
