Unstructured’s Post

The AI industry moves at light speed. Can you keep up? New research papers, product announcements, and breakthroughs drop constantly across multiple platforms and in different formats (HTML blog pages, PDFs with research papers, newsletters in emails, etc). Staying informed means hours of manual aggregation and reading. What if you had autonomous agents simply prepare a weekly TLDR for you? In the latest notebook, we show how you can build two autonomous agents that run the entire TLDR pipeline. You’ll learn how to: ✓ Scrape ArXiv papers and AI blogs ✓ Process PDFs, and HTML pages with Unstructured and stores structured content in MongoDB ✓ Build an orchestrator agent that can autonomously manage data processing workflows in Unstructured ✓ Build a summarizer agent that can autonomously generate weekly content summaries Built with Unstructured, LangChain, MongoDB, and OpenAI. Check out the notebook to see how to build your own Agentic TLDR: https://lnkd.in/eihZdEed #AI #MachineLearning #Automation #DataProcessing #AgenticAI #AutonomousWorkflows #GenAI #ETL #ETL+ #RAG #SCORE #Benchmarks #UnstructuredData #LLM #MCP #EnterpriseAI #RAGinProduction #LLMready #Unstructured #TheGenAIDataCompany