The original title is: "RAG ingestion challenges: crawling, chunking, and data feed maintenance in production"

Short summary

A deep dive into why RAG ingestion is the hardest part of production systems, not the model. The first ingestion run gives false confidence; production sources change constantly. Crawling is not ingestion — navigation menus, footers, and boilerplate pollute the corpus. Chunking by character count breaks meaning across tables, policies, and product pages, requiring structure-aware approaches.

• •First ingestion runs are misleading — production sources change, break, and duplicate over time
• •Crawling collects pages but ingestion must filter noise: nav menus, footers, ads, boilerplate
• •Character-based chunking fragments meaning; structure-aware chunking is needed for real-world web data

Generated with AI, which can make mistakes.