I Tested 5 Document Parsers for AI Agents (Docling, Andrew Ng DPT, LlamaParse + RAG)我测试了 5 个用于 AI 代理的文档解析器（Docling、Andrew Ng DPT、LlamaParse + RAG）

In this video, I show you how to parse complex documents with five different tools to create usable data for AI agents . To reflect real world complexity, I chose documents like NVIDIA's financial report, medical records with MRI scan, and research papers . For the tools, Andrew Ng, agentic extraction, Docling, Llama Parse, and more . I also built a RAG with ChromaDB and Langchain to compare the actual quality of extraction . I'm Maryam Miradi, PhD with twenty plus years in AI, teaching thousands to build AI agents in ninety plus countries. . Files files So the first one is, the hundred thirty pages NVIDIA document, the finance document . So for our code, we just, need a bunch of API keys , the llama cloud API, and also the Vision Agent API , which is for Andrew Ng agentic extraction And then we can go ahead and load the page just before extracting that. . Let me show you . This is the NVIDIA one hundred and thirty pages PDF. . It has a table of content It has complicated graphs and it has lots of tables as you can