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Agentic AI
Diving into LlamaIndex AgentWorkflow: A Nearly Perfect Multi-Agent Orchestration Solution
And fix the issue where the agent can’t continue with past requests.
This article introduces you to the latest AgentWorkflow multi-agent orchestration framework by LlamaIndex, demonstrating its application through a project, highlighting its drawbacks, and explaining how I solved them.
By reading this, you’ll learn how to simplify multi-agent orchestration and boost development efficiency using LlamaIndex AgentWorkflow.
The project source code discussed here is available at the end of the article for your review and modification without my permission.
Introduction
Recently, I had to review LlamaIndex’s official documentation for work and was surprised by the drastic changes: LlamaIndex has rebranded itself from a RAG framework to a multi-agent framework integrating data and workflow. The entire documentation is now built around AgentWorkflow.
Multi-agent orchestration is not new.
For enterprise-level applications, we don’t use a standalone agent to perform a series of tasks. Instead, we prefer a framework that can orchestrate multiple agents to…