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0:00 - Introduction to the RAG Agent Workshop: An overview of what will be covered in the workshop.
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Classroom Contents
Build a RAG Agent with NVIDIA Nemotron - A Developer's Guide to Agentic AI
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- 1 0:00 - Introduction to the RAG Agent Workshop: An overview of what will be covered in the workshop.
- 2 0:12 - Setting Up the Brev Environment: A step-by-step guide to deploying the development environment.
- 3 0:48 - Understanding RAG and Agentic AI: A foundational discussion of traditional RAG vs. agentic RAG.
- 4 2:48 - The Agenti-RAG Architecture: A look at the different components of the system, including the React Agent and Retrieval Chain.
- 5 3:07 - Building the Agent: Code Walkthrough: A detailed code review of the rag_agent.py file.
- 6 4:14 - Defining the Retrieval Chain: Explaining how to build the retrieval component with a simple retriever and a reranker.
- 7 5:01 - Creating the Agent's Brains: How to define the LLM and system prompt for the agent.
- 8 5:16 - Creating the LangGraph Flowchart: Connecting all the components into a functional graph.
- 9 5:44 - Running the Agent for Showtime: Deploying the agent behind an API and preparing to interact with it.
- 10 6:38 - Chat with the Agent: A live demonstration of how to interact with the agent.
- 11 7:27 - Examining the Log Output: How to debug and understand the agent's thought process.
- 12 7:56 - Live Demo: Resetting a Password: A practical example of the agent's reasoning in action.
- 13 9:47 - Agent Observability: An overview of using observability tools to trace the agent's performance.
- 14 10:09 - Conclusion and Next Steps: A wrap-up of what was learned and a call to action.
