Building Agentic RAG with LlamaIndex

Instructor: Jerry Liu

What you'll learn

  •   Learn how to build an agent that can reason over your documents and answer complex questions.
  •   Build a router agent that can help you with Q&A and summarization tasks, and extend it to handle passing arguments to this agent.
  •   Design a research agent that handles multi-documents and learn about different ways to debug and control this agent.

    • Skills you'll practice

  •   Generative AI Agents
  •   Prompt Engineering
  •   Debugging
  •   Large Language Modeling
  •   Generative AI
  •   Document Management
  •   Agentic systems
  •   Artificial Intelligence

    • JavaScript RAG Web Apps with LlamaIndex

    AI Agents in LangGraph

    Practical Multi AI Agents and Advanced Use Cases with crewAI

    Preprocessing Unstructured Data for LLMs and RAG Systems

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