Multi-Agent RAG with
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!
Join us every Wednesday at 1pm EST for our live events. SUBSCRIBE NOW to get notified!
Speakers:
Dr. Greg, Co-Founder & CEO AI Makerspace
/ gregloughane
The Wiz, Co-Founder & CTO AI Makerspace
/ csalexiuk
Apply for The AI Engineering Bootcamp on Maven today!
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LLM Foundations - Email-based course
https://aimakerspace.io/llm-foundations/
For team leaders, check out!
https://aimakerspace.io/gen-ai-upskil...
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00:00:00 Introduction to Multi-Agent Systems
00:05:01 Understanding the Reasoning Action Pattern
00:09:12 The Future of AGI and Multi-Agent Systems
00:12:50 Introduction to Crew AI and Its Multiactor Applications
00:17:04 Building a Custom RAG System with Tavali Search
00:20:59 Building Agentic AI with LangChain
00:24:28 Building a Simple RAG Chain with Langchain
00:27:44 Implementing Boilerplate Prompts for Agents
00:31:27 Understanding Open AI Function and Research Team Interactions
00:34:18 Building LLM-Based Agents with GBD4
00:37:41 Using Mermaid for Graph Visualization
00:41:07 Building a Document Writing Team
00:45:01 The Role of Supervisors in Modern Workflows
00:49:14 Transforming Papers into Revolutionary Blogs
00:53:09 Understanding Multi-Agent Systems
00:57:01 Enhancing Multi-Agent Systems with Lang Smith Integration