Hands-On Generative AI with Multi-Agent LangChain: Building Real-World Applications

Get a comprehensive overview of how to build and run dynamic, interactive multiagent simulations using LangChain, the popular AI-powered framework.

Introduction

• Generative agents: What and why?
• What you should know
• Setting up your environment

1. Building Your First Generative Agents

• Understanding the role of memory
• Implementing your first generative agent
• Interacting and providing context to generative characters
• Setting up and running your first multi-agent simulation
• Challenge: Run a generative agent trivia night in LangChain
• Solution: Run a generative agent trivia night in LangChain

2. Modelling Complex Generative Agent Scenarios

• Implementing the dialogue agent class
• Implementing the dialogue simulator class
• Authoritarian vs. decentralized speaker selection
• Bidding for decentralized speaker selection
• Challenge: Simulate a startup pitch to investors
• Solution: Simulate a startup pitch to investors

3. Equipping Agents with Tools

• Overview of agent tools in LangChain
• Enabling an agent to access various tools
• Simulating a debate with tool integration

Conclusion

• Next steps in building real-world applications