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  "text": "Santa receives thousands of letters every year—Processing these manually  takes a lot of time, so this year, we're helping him out 👇\n\nWe built an agent to automate extracting wish-list items from letters 🎅\n\n📤 Upload to LlamaCloud\n✂️ LlamaSplit categorizes pages into logical segments (letters vs. index pages) using AI-powered document understanding\n📋 LlamaExtract extracts structured data from each child's letter—name, age, wishlist items, address, and whether they've been good or bad (using Pydantic schemas for type-safe extraction)\n🔄 LlamaAgent Workflows orchestrates the process with a fan-in pattern: split the document into segments, then extract data from each letter segment in parallel\n\nThe result? Transform a messy multi-page PDF into clean, structured JSON for every child's wishlist—automatically handling document segmentation, parallel extraction, and data validation.\n\nTry it yourself in this Colab notebook:\nhttps://t.co/TbLLah1BV5",
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