Towards Data Science July 18, 2026 By angela shi

Loop Engineering with Adaptive PDF Parsing: Start Cheap, Pay for a Heavier Parser Only When the Page Needs It

Read the original on Towards Data Science →

Enterprise Document Intelligence [Vol. 1 #10A] - The escalation cascade and the free, deterministic checks that flag a failed parse before you pay for a deeper one The post Loop Engineering with Adaptive PDF Parsing: Start Cheap, Pay for a Heavier Parser Only When the Page Needs It appeared first on Towards Data Science .

Summary generated by The Flow from the publisher's feed. The full article lives at Towards Data Science.

Towards Data Science

Jun 13

Parse PDFs for RAG Locally with Docling: Rich Tables, No Cloud Upload

Enterprise Document Intelligence [Vol. 1 #5ter] - Table cells, OCR, captions, headings: cloud-grade structure, running on your own machine.

By Kezhan Shi

rag computer-vision

Towards Data Science

Jul 7

A Production RAG Pipeline for PDFs: Relational Parsing, TOC Retrieval, Typed Answers

Enterprise Document Intelligence [Vol. 1 #9A] - Same paper, same question as Article 1.

By angela shi

rag

Towards Data Science

Aug 12

Before Full Agentic RAG: Know How You Decide, and the Parsing Methods You Pick From

Enterprise Document Intelligence [Vol. 1 #5nonies] - Nature, plan, execute, synthesize: closing brick 1 with a dispatcher that reads each PDF’s nature and picks the method that fits, fitz, Docling, PaddleOCR, EasyOCR, MinerU or Surya, then folds the outputs into one corpus The post Before Full Agentic RAG: Know How You Decide, and the Parsing Methods You Pick From appeared first on Towards Data Science .

By angela shi

rag agents

Towards Data Science

Jul 19

Loop Engineering for RAG Question Parsing: The Small Loop That Runs Before Retrieval

Enterprise Document Intelligence [Vol. 1 #6quinquies] - Prompt engineering, then context engineering, then loop engineering.

By Kezhan Shi

llms rag

Towards Data Science

Jun 11

Stop Returning Flat Text from a PDF: The Relational Shape RAG Needs

Enterprise Document Intelligence [Vol. 1 #5B] - One PDF in, a relational set of DataFrames out: lines, pages, TOC, images, cross-references, captions, spans, and a parsing summary The post Stop Returning Flat Text from a PDF: The Relational Shape RAG Needs appeared first on Towards Data Science .

By Kezhan Shi

rag

Towards Data Science

Jun 20

Making a PDF’s Images Searchable for RAG, Without Paying to Read Them All

Enterprise Document Intelligence [Vol. 1 #5sexies] - image_df tells you where every picture is.

By Kezhan Shi

rag

Related stories

Parse PDFs for RAG Locally with Docling: Rich Tables, No Cloud Upload

A Production RAG Pipeline for PDFs: Relational Parsing, TOC Retrieval, Typed Answers

Before Full Agentic RAG: Know How You Decide, and the Parsing Methods You Pick From

Loop Engineering for RAG Question Parsing: The Small Loop That Runs Before Retrieval

Stop Returning Flat Text from a PDF: The Relational Shape RAG Needs

Making a PDF’s Images Searchable for RAG, Without Paying to Read Them All