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Dev Tools · 2h ago

PDF parsing pitfalls cost team three weeks on banking AI chatbot

By Meridian48 News Desk · Summarised from DEV Community ·

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.
Read the full reporting
That Arrow in Every RAG Diagram Cost Us Three Weeks. →
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