Nemotron Use Case Examples

This directory contains end-to-end examples demonstrating practical applications of NVIDIA Nemotron models.

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📋 Overview

These examples showcase complete implementations of agentic workflows, RAG systems, and other advanced use cases. Unlike the usage-cookbook which focuses on deployment and basic model usage, these examples demonstrate how to build production-ready applications.

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Usage Examples Table of Contents

Example	Description
RAG Agent with Nemotron RAG Models	End-to-end example of a Retrieval-Augmented Generation (RAG) agent workflow using Nemotron RAG models through Hugging Face and Nemotron 9B hosted through build.nvidia.com models
Data Science ML Agent	End-to-end example of a natural language-driven data science and machine learning agent powered by NVIDIA GPUs. The agent allows users to perform data exploration, model training, and hyperparameter optimization interactively using RAPIDS cuDF and cuML for GPU acceleration.