Dev Tools · 2h ago
PDF parsing pitfalls cost team three weeks on banking AI chatbot
A team building a production banking AI chatbot discovered that naive PDF extraction produced garbled text, merging table columns and losing structure. After trying multiple approaches, they switched to a document-intelligence pipeline that preserves table boundaries and stitches split tables across pages. The fix was slow but essential for accurate retrieval in a domain where wrong numbers have real consequences.
Meridian48 take
The story underscores a boring but critical truth: in enterprise AI, data preprocessing is often the hardest part, and no amount of fancy retrieval can fix garbage input.
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