Reduce LLM Token Waste in RAG with Markdown
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 an…
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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 an…
TAGS: schema,streaming,data pipelines,production Why I chose this topic: I've seen too many evenings and weekends vanish debugging why a seemingly min…
TL;DR Converting scraped web content directly into Markdown reduces token consumption by up to 90% while preserving the semantic structure needed by L…
TL;DR To build reliable AI data extraction pipelines, you must align your IP reputation with realistic browser fingerprints. This means rotating IPs i…
Designing Idempotent Bulk Import Pipelines (E.164, VIN, and the Rest) Bulk imports are a special category of pain. You give the user a CSV uploader, t…
Around 50 CE, give or take a few years, a group of Roman military engineers picked a spot on the River Thames and bridged it. They picked the place th…
Disclaimer: This guide covers extracting publicly accessible data. Always review a site's robots.txt and Terms of Service before scraping. When buildi…