Explore the event-driven framework Llama Index Workflows for building AI agents in this comprehensive 35-minute video tutorial. Compare Llama Index Workflows with LangChain's LangGraph, learn how to implement Workflows, and construct an asynchronous research agent using the library. Dive into essential topics such as Python prerequisites, building a knowledge base, defining agent tools and LLMs, understanding Llama Index Workflow events, and creating an agent workflow. Follow along with practical demonstrations on debugging, tweaking, and testing the Llama Index async functionality. Gain valuable insights into structuring AI software and enhancing your AI engineering skills through this hands-on guide.

Syllabus

Llama Index Workflows
Llama Index vs. LangGraph
Python Prerequisites
Building Knowledge Base
Defining Agent Tools
Defining the LLM
Llama Index Workflow Events
Llama Index Agent Workflow
Debugging our Workflow
Using and Tweaking our Agent
Testing Llama Index Async