📰 Towards Data Science

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Towards Data Science 🔍 RAG & Vector Search ⚡ AI Lesson 1w ago

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. No key, no per-page b

Towards Data Science 🔍 RAG & Vector Search ⚡ AI Lesson 1w ago

When PyMuPDF Can’t See the Table: Parse PDFs for RAG with Azure Layout

Enterprise Document Intelligence [Vol.1 #5bis] - The same relational tables. Native table cells. OCR for scanned pages and images. Captions and headings without

Towards Data Science 🔍 RAG & Vector Search ⚡ AI Lesson 1w ago

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

Towards Data Science 🔍 RAG & Vector Search ⚡ AI Lesson 2w ago

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

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 Fro

Towards Data Science 🔍 RAG & Vector Search ⚡ AI Lesson 3w ago

RAG Is Burning Money — I Built a Cost Control Layer to Fix It

Most RAG systems are optimized for answer quality, not cost—and that blind spot gets expensive fast. In this article, I break down a production-ready cost contr

Towards Data Science 🔍 RAG & Vector Search ⚡ AI Lesson 2mo ago

Your RAG System Retrieves the Right Data — But Still Produces Wrong Answers. Here’s Why (and How to Fix It).

Your RAG system is retrieving the right documents with perfect scores — yet it still confidently returns the wrong answer. I built a 220 MB local experiment tha