A practical guide to building a resilient RAG ingestion pipeline

This piece lays out how to design the ingestion stage of a RAG (retrieval-augmented generation) system so it holds up against large, messy real-world documents. Drawing on hands-on experience building document processing systems, it covers practical concerns like how to chunk documents sensibly, handle tricky elements such as tables and images, and attach metadata that improves search accuracy later. The author frames it as one personal approach rather than a definitive answer and is looking for others to share how they've tackled the same problems.