How to Build a Deep Research Agent - Nvidia скачать в хорошем качестве

How to Build a Deep Research Agent - Nvidia

The "Build a Deep Research Agent" workshop is a self-paced hands-on course designed to teach you how to build and deploy your own deep research agent using NVIDIA's AI-Q Research Assistant Blueprint. Modern AI applications require more than simple question-answering—they need agentic capabilities that can plan, reason, search across multiple sources, and synthesize comprehensive reports. This workshop guides you through deploying a complete enterprise-grade deep research system from the fundamentals up. Tools, libraries, frameworks used: Python, NVIDIA NIM, NVIDIA NeMo, NVIDIA Nemotron, AI-Q Research Assistant Blueprint, NVIDIA RAG Blueprint, Milvus, Tavily Search API, Docker Through this workshop, you'll work with NVIDIA's production-ready blueprints to build an autonomous AI system that conducts multi-step research by combining reasoning models, retrieval-augmented generation (RAG), and web search. You'll learn how to deploy NVIDIA Nemotron reasoning models, build a RAG pipeline with vector databases, and orchestrate agentic workflows with human-in-the-loop capabilities. The course emphasizes hands-on learning with immediate application of concepts through Jupyter notebooks and interactive web interfaces. Disclaimer - Everything shown in this Video is Owned by Nvidia