Building Agentic RAG with LlamaIndex - Syllabus

• Introduction
  • Introduction to agentic RAG and LlamaIndex
  • Course objectives and key concepts
• Router Query Engine
  • Building a router agent to handle Q&A and summarization tasks
  • Implementing basic routing logic with code examples
• Tool Calling
  • Using LLM to select functions and pass arguments
  • Practical application of tool calling in agentic RAG
• Building an Agent Reasoning Loop
  • Implementing a reasoning loop for multi-step task execution
  • Code examples for agent decision-making across tools
• Building a Multi-Document Agent
  • Extending the research agent to handle multiple documents
  • Techniques for navigating and comparing data across sources
• Conclusion
  • Summary of course concepts and advanced agentic RAG applications
  • Next steps for developing autonomous research agents