Why 70% of RAG projects never reach production in 2026
Article summary
Quick briefing — cleaned from the original RSS feed
The demo lies because the dataset is polite A 50-document RAG demo is almost designed to succeed. The documents are clean, the questions are friendly, and the person demoing the system knows what to ask. Production is not polite. Documents are duplicated, stale, scanned, badly formatted, cross-referenced, and full of tables. Users search by clause number, invoice ID, acronym, and half-remembered phrase. The model answers confidently even when retrieval missed the one paragraph that mattered.…
1Key Takeaways
- The demo lies because the dataset is polite A 50-document RAG demo is almost designed to succeed.
- The documents are clean, the questions are friendly, and the person demoing the system knows what to ask.
- Documents are duplicated, stale, scanned, badly formatted, cross-referenced, and full of tables.
- Users search by clause number, invoice ID, acronym, and half-remembered phrase.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that the demo lies because the dataset is polite A 50-document RAG demo is almost designed to succeed.
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