Multi-Agent RAG
If there’s anything better than agentic RAG, it’s multi-agent RAG!
In this event, we’ll explore the big idea behind “multi-agent” applications. These types of workflows combine multiple independent agents, which can be structured to work together to solve complex problems.
The patterns of using multi-agent frameworks can take many forms including planning, reflection, and tool use. Further, the popular tools for orchestrating multi-agent systems include AutoGen, Crew AI, and LangGraph!
In this event, we’ll overview the frameworks and tools you should know at a high level, and we’ll describe in detail how multi-agent collaboration systems are constructed and operated in LangChain; namely using a shared scratchpad approach.
Our primary build of the day will use an Agent Supervisor, which, instead of sharing a single scratchpad, leverages multiple agents (each with their scratchpads) under the purview of a supervisor agent, which collects final responses and appends them to a global scratchpad. We’ll then orchestrate the system with LangGraph.
As always, all content, from concepts to code, will be shared and your questions will be answered live!
📚 You’ll learn:
How to build and orchestrate multi-agent RAG applications in LangChain.
To connect agents and complexity and capability of your LLM applications.
To leverage supervisor agents to organize and leverage other agents as tools.
🤓 Who should attend the event:
Aspiring AI Engineers who want to understand how to build multi-agent RAG applications.
AI Engineering leaders who are looking for an overview of multi-agent tools and frameworks!
Anyone tasked with understanding the state-of-the-art in agentic applications!
This a dense topic that we will cover at a high level of abstraction. If you are not yet familiar with the foundational concepts and code that we’ll leverage, we recommend checking out some of our previous content including:
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.
Follow AI Makerspace on LinkedIn and YouTube to stay updated about workshops, new courses, and corporate training opportunities.