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Which document parsing tool actually works best for RAG systems? In this comprehensive comparison, I test Docling vs Andrew Ng's new DPT (Document Processing Transformer) vs LlamaParse vs Unstructured vs PDF Plumber in real-world RAG scenarios. šÆ Quick 3-min breakdown of my RAG-based evaluation methodology. šŗ Watch the full comparison with all test results ā https://youtu.be/BFxSYP5IRjQ What You'll Learn: ā Real performance comparison of 5 major document parsing tools ā Why extraction quality alone doesn't guarantee RAG success ā The critical role of chunking strategies and embeddings in RAG ā How to optimize parameters for YOUR specific use case ā Why "out of the box" solutions often fail in production ā Get your Free Training + Guide: https://www.maryammiradi.com/free-ai-agents-training š§ Join 5--in-1AI Agents Training (56% OFF): https://www.maryammiradi.com/ai-agents-mastery Key Findings: PDF Plumber: Most stable across different configurations DPT: Premium alternative with strong performance when properly tuned Docling & LlamaParse: Excellent for single-page extraction Unstructured: Underperformed in all tests Critical insight: Extraction + Retrieval + Reasoning all matter in RAG! The Truth About Document Parsing: None of these tools are "magic boxes." Success requires understanding the three-layer problem: extraction quality, retrieval effectiveness, and LLM reasoning capability. Different embeddings, chunk sizes, and parameters dramatically change results. Perfect for: ā AI Engineers building production RAG systems ā Data Scientists working with document-heavy applications ā Anyone frustrated with inconsistent RAG results š RELATED VIDEOS: I Tested 5 Document Parsers for AI Agents (Docling, Andrew Ng DPT, LlamaParse + RAG): https://youtu.be/BFxSYP5IRjQ 7 Methods of Context Engineering: https://youtu.be/wgDzOSPbTqg š©āš¬ ABOUT ME: I'm Maryam Miradi, PhD with 20+ years in AI, teaching thousands of developers to build production AI agents in 90+ countries through AI Agents Mastery. š CONNECT WITH ME: LinkedIn: https://www.linkedin.com/in/maryammiradi/ #rag #Docling #LlamaParse #aiagents #langchain #Chromadb #DeepLearning #AIEngineering #AIDocumentParsing #MachineLearning #MLTools #AgenticAI #AIAutomation #AIDevelopers #AIPipeline #AIVideo