Hot take:
Most clients don’t need a RAG system.They need better internal documentation.
I’ve built a few RAG pipelines recently, and what I learned:If the knowledge base is messy → the AI just retrieves messy answers faster.
Before building RAG, I now:
- Audit content structure
- Identify decision patterns
- Standardize documentation
- Then build retrieval
Are you guys seeing the same thing?
Or are clients coming to you with already clean data environments?