Better Agents with LlamaIndex Workflows
As agents have taken over the AI scene in 2024, the companies that create developer tools for orchestrating complex agentic LLM applications have learned valuable lessons about the best implementations.
For example, chains and pipelines are both implementations of a Directed Acyclic Graph (DAG), which has been identified as the wrong fit for an agentic landscape. We have seen other implementations, like the graph approach used in LangGraph. In this event, we meet an Event-Driven Architecture (EDA), an approach used by LlamaIndex Workflows.
During this event, we’ll dig into the differences between pipeline, graph, and event-driven implementations of agentic applications, including strengths and weaknesses of each.
We’ll break down each of the core constructs within LlamaIndex Workflows, which fundamentally are made up of steps (i.e., ****Python functions). Each step is responsible for handling certain event types and emitting new events.
We will discuss how you can customize and debug workflows with great visualizations of event-driven dependencies, and we’ll cover the other important key features of the tool for developers to keep in mind.
As always, all content, from concepts to code, will be shared and your questions will be answered live!
📚 You’ll learn:
The core concepts and code for LlamaIndex Workflows
How to build state-of-art agents in LlamaIndex using an event-driven architecture
Understand the difference between pipeline, graph, and event-driven orchestration
🤓 Who should attend the event:
Aspiring AI Engineers who want to build at the open-source edge with LlamaIndex
AI Engineering leaders who want to learn the most popular open-source agent frameworks
Speakers:
Dr. Greg Loughnane is the Co-Founder & CEO of AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. Since 2021, he has built and led industry-leading Machine Learning education programs. Previously, he worked as an AI product manager, a university professor teaching AI, an AI consultant and startup advisor, and an ML researcher. He loves trail running and is based in Dayton, Ohio.
Chris “The Wiz” Alexiuk is the Co-Founder & CTO at AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. During the day, he is also a Developer Advocate at NVIDIA. Previously, he was a Founding Machine Learning Engineer, Data Scientist, and ML curriculum developer and instructor. He’s a YouTube content creator YouTube who’s motto is “Build, build, build!” He loves Dungeons & Dragons and is based in Toronto, Canada.
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