We believe the intersection of RAG and multi-agent systems is where the magic really happens. Imagine individual AI agents, each equipped with the power to access and understand comprehensive knowledge on the fly, working together to solve complex problems. The potential for advancements in decision logic, social dynamics, and more is enormous.
👋 Quick Welcome (5 mins) - Kicking off the session with a warm greeting and what to expect.
🧑💼 Brief Introduction from Participants (1 min each) - Participants share their name, location, occupation, and one expectation from the call.
🤖 Overview of RAG+Agents as a Theme for the Session (5 mins) - Diving into why we're focusing on Retrieval Augmented Generators and AI Agents today.
📄 Overview of the Papers Discussed (5 mins) - Quick summary of the key papers we'll be exploring:
📑 Paper 1: "The Power of Noise: Redefining Retrieval for RAG Systems"
https://arxiv.org/abs/2401.14887
🌐 Paper 2: "RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval"
https://arxiv.org/abs/2401.18059
🔄 Paper 3: "Corrective Retrieval Augmented Generation"
https://arxiv.org/abs/2401.15884
📊 Paper 4: "Large Language Model based Multi-Agents: A Survey of Progress and Challenges"
https://www.researchgate.net/publication/377723187
🗣️ Introduction by the Community Agent (5 mins) - A brief introduction to the session by the AI agent, setting the stage for the discussions.
❓ Q&A from Research Agent (15 mins) - An interactive Q&A session, with questions prepared by the AI agent to stimulate discussion and deepen understanding.
🎉 After-party (15 mins) - An informal chat to relax, network, and discuss AI, life, and everything in between.
