Hi everyone! 👋 We built the NVIDIA Powered Research Agent because we kept seeing the same problem inside every growing team and enterprise: important information was buried inside long PDFs, reports, contracts, and research papers and finding anything took hours. Teams were wasting time scrolling, searching, and manually summarizing, and critical decisions were often slowed down simply because the insights were hidden. We asked ourselves a simple question: “What if an AI agent could read the document for you, understand it, cross-check facts on the web, and produce a clean final report all in minutes?” That’s what inspired this prototype. The AI Research Assistant uses a multi-agent system (Plan → Execute → Report) to break down a document, run semantic + keyword search, retrieve supporting knowledge from the web, and then synthesize everything into a structured, final report. The frontend shows live progress as each agent completes its step from planning, retrieval, fact-checking, to the final synthesis. Our goal wasn’t just summarization, but *true document intelligence*: reasoning, validation, context, and completeness. We’d love your feedback on: – What workflows you want this AI assistant to support – What types of documents you’d want it to analyze – Any features that would make this more helpful in your team Excited to hear your thoughts and answer your questions! 🙌

NVIDIA Powered Research Agent

Research Agent built using NVIDIA’s AIQ Blueprint.

Research Agent built using NVIDIA’s AIQ Blueprint.