Towards Data Science June 2, 2026 By angela shi

From Regex to Vision Models: Which RAG Technique Fits Which Problem

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Enterprise Document Intelligence [Vol. 1 #4] - A diagnostic across PDFs and questions, and a map of the techniques the rest of the series will cover The post From Regex to Vision Models: Which RAG Technique Fits Which Problem 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

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

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Towards Data Science

Jun 14

Vision LLMs are PDF Parsers Too: Reading Charts and Diagrams for RAG

Enterprise Document Intelligence [Vol. 1 #5quater] - The other parsers read the words on a page.

By Kezhan Shi

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Towards Data Science

May 29

Baseline Enterprise RAG, From PDF to Highlighted Answer

Enterprise Document Intelligence [Vol. 1 #1] The smallest version of RAG that actually works, on a real PDF, with grounded answers and the source lines highlighted.

By angela shi

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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

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Towards Data Science

Jul 2

The Untaught Lessons of RAG Question Parsing: Structure Before You Search

Enterprise Document Intelligence [Vol. 1 #6ter] - Six positions on the question-parsing brick that contradict the mainstream RAG playbook The post The Untaught Lessons of RAG Question Parsing: Structure Before You Search appeared first on Towards Data Science .

By angela shi

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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

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

Vision LLMs are PDF Parsers Too: Reading Charts and Diagrams for RAG

Baseline Enterprise RAG, From PDF to Highlighted Answer

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

The Untaught Lessons of RAG Question Parsing: Structure Before You Search

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