/agentic_rag_with_llamaindex

Deeplearning AI Course

Primary LanguageJupyter Notebook

Building Agentic RAG with Llamaindex

Build an agent that can answer complex questions about your documents.

  • 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.

INDEX

  1. Router Query Engine
  2. Tool Calling
  3. Building an Agent Reasoning Loop
  4. Building a Multi Document Agent

YT RECORDING

AgenticRag


Course Link

https://learn.deeplearning.ai/courses/building-agentic-rag-with-llamaindex