Create Your Own AI Agent with NVIDIA NeMo Agent Open Source Toolkit
Skills:
Agent Foundations90%Tool Use & Function Calling80%Multi-Agent Systems70%Autonomous Workflows60%
Learn how to build, integrate, and optimize custom AI agents using the NVIDIA NeMo Agent open-source Python toolkit. Designed for developers, NeMo Agent makes it easy to compose agentic systems by connecting tools and workflows across your existing tech stack—regardless of the underlying LLM framework.
00:00 - Introduction
01:30 - Key Features of the Agent Toolkit
03:45 - Setting Up Your Project with the Workflow
06:10 - Creating a Multi-RAG Agent
09:25 - Instantiating and Configuring a React Agent
12:40 - Setting Up a FastAPI Microservice
15:15 - Conclusion and Key Takeaways
Key Features for Developers:
▫️ Modular and Composable: Agents, tools, and workflows are implemented as standard Python functions, making them easy to combine, reuse, and distribute across different projects.
▫️ Framework Agnostic: The toolkit is compatible with popular agentic frameworks like LangGraph, CrewAI, LangChain, and others, so you can integrate it without replatforming.
▫️ Custom Agent Definition: You can define custom agents that orchestrate multiple retrieval augmented generation (RAG) pipelines or other tools, enabling complex reasoning and multistep workflows.
▫️FastAPI Integration: Expose your agents as microservices using FastAPI, making them accessible via standard API calls for production deployment.
▫️Configuration Driven Workflows: All components and workflows are managed through YAML configuration files for rapid iteration.
▫️Distribution and Reuse: Components can be packaged as pip-installable Python packages, making it easy to share and reuse agents and tools across teams or projects.
Whether you're a seasoned developer or just starting out, the Agent toolkit is a valuable resource for integrating advanced AI capabilities into your projects. Watch the video to get started and explore the full potential of this powerful toolkit.
📥 Download NVIDIA NeMo Agent toolkit: https://github.com/NVIDIA/AIQToolkit
📖 Read our introductory technical blog: https://nvda.ws/4
Watch on YouTube ↗
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Chapters (7)
Introduction
1:30
Key Features of the Agent Toolkit
3:45
Setting Up Your Project with the Workflow
6:10
Creating a Multi-RAG Agent
9:25
Instantiating and Configuring a React Agent
12:40
Setting Up a FastAPI Microservice
15:15
Conclusion and Key Takeaways
🎓
Tutor Explanation
DeepCamp AI