Multi-Agent RAG

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Discover how to integrate multiple independent agents to tackle complex problems effectively using the latest frameworks like AutoGen, Crew AI, and LangGraph. We'll dive into the innovative multi-agent systems, particularly focusing on the shared scratchpad approach in LangChain, and demonstrate building an advanced Agent Supervisor model. This system enhances problem-solving by coordinating agents, each with their own scratchpads, under a supervisor that manages the final outputs. Whether you're a developer or just fascinated by AI's potential, join us to learn, interact, and get hands-on with the future of collaborative AI technology. Click now to be part of this journey into multi-agent systems!

Have a question for a speaker? Drop them here:

Speakers:
Dr. Greg, Co-Founder & CEO

The Wiz, Co-Founder & CTO

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Interesting perspectives on combining several AI agents to solve complicated problems. eager to investigate these frameworks. #Innovation #Technology #MultiAgentSystems #AI

Sandheip

Thanks for the video. The moment i saw your compromising with 3.5 for something I said, well..

israelzilberman

Best quality videos, content and discussion style ever. Dope af!

MrMoonsilver

Awesome. the slides and colab notebook are very helpful, this is a cool explanation from Dr Greg and Dr Chris

srikanta

For some reason the video did not have the document writer code creation steps, but it is all cleared out once I see the notebook 🙂 Great content, thanks!

jorgefelipegaviriafierro

@AI-Makerspace Wonderful event and valuable content. Question, though, the notebook always finishes with the Research Team and never advances to the Writing Team. Can you please point me to where (I'm guessing somewhere in the supervisor function) I can find the bug? Thank you.

monikabrown

Love it. Hilarious intro. Hyper dope.

martinalexander

Thank you for the tutorial. Always a pleasure watching your videos.
I did almost the same thing using LangGraph Github.
I just don't get the image of saying "fancy RAG". Because for me RAG is retrieving, while an agent can even write in an empty file for example. Could you please elaborate?

Other than that, I would be very much interested in tutorials using another framework like CrewAI. Thank you very much guys ❤

MoadKISSAI

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