Llama Index Workflows for AI Agents

In this video, James Briggs introduces Llama Index Workflows, an event-driven framework designed for building AI agents. He compares Llama Index Workflows with LangChain’s LangGraph, highlighting their differences and advantages. The tutorial covers how to set up various components, including LLMs, Qdrant Vector Database, and n8n for automation. Briggs demonstrates the process of creating an async research agent, showcasing the ease of integrating AI capabilities into workflows. Viewers learn about the technical requirements, installation steps, and practical applications of Llama Index Workflows, making it accessible for both beginners and experienced users.