Reduce LLM Token Waste in RAG with Markdown (opens in new tab)

TL;DR Feeding raw HTML to Large Language Models wastes tokens on markup, scripts, and styling. By rendering dynamic web pages in a headless browser and converting the final DOM to clean Markdown, you reduce token consumption by up to 90% while preserving semantic structure and improving retrieval accuracy in RAG pipelines. The Problem: LLMs, Context Windows, and the HTML Tax Building Retrieval-Augmented Generation (RAG) pipelines over web data introduces a specific data engineering problem. T...