Building a multi-strategy RAG workflow with reflection in LlamaIndex
Learn how to use LlamaIndex's powerful Workflows feature in this comprehensive tutorial. Laurie, VP of Developer Relations at Plama Index, guides you through building a multi-strategy workflow with reflection for advanced RAG (Retrieval-Augmented Generation) applications.
In this video, you'll learn:
The concept of event-driven workflows in LlamaIndex
How to create a multi-strategy workflow that combines naive RAG, high top-K, and re-ranking approaches
Implementing query improvement through reflection
Setting up custom events and steps in your workflow
Using the collect_events feature to synchronize multiple parallel processes
How to visualize your workflow using built-in diagram generation tools
Practical insights on when to use different RAG strategies
Watch as Laurie breaks down each component of the workflow, from initial query judgment to final response selection. You'll see real code examples and learn how to implement advanced features like query improvement and response comparison.
Whether you're new to LlamaIndex or looking to level up your RAG applications, this tutorial provides valuable insights into creating more sophisticated and effective information retrieval systems. By the end of the video, you'll have a solid understanding of how to leverage LlamaIndex Workflows to build powerful, flexible RAG applications.
Notebook here: https://colab.research.google.com/dri...