Document parsing and ingestion for RAG
Comes up in: AI engineering, AI system design
This concept is being written. It gets the full five steps — explanation, predict, interview angle, practice with tests, and review cards. Here is exactly what it will cover, so you can study it elsewhere in the meantime.
What it covers
- PDF text extraction vs OCR
- layout-aware parsing (tables, headings)
- multimodal models reading pages as images
- cleaning and de-duplication
- incremental re-indexing
- batch processing for large corpora
Words you will know
What you will practise
- ingest 200 mixed PDFs and measure retrieval quality
Interview questions this answers
- Walk through a RAG pipeline. Where does it usually fail?