How to Build a Multi-Agent Bot with Autogen and Nebula

AI agents are poised to dramatically increase the adoption of AI applications, with the market for AI agents projected to reach $110 billion by 2032. An AI agent is an application or system capable of executing a given task without direct human intervention. Multi-agent systems can be created by connecting two or more AI agents, allowing them to collaborate on more complicated tasks. Building a multi-agent chatbot involves choosing a framework, choosing an LLM, installing packages, configuring the agents, creating and initializing the agents, and implementing conversation logic. Use cases for multi-agent chatbots include Q&A, customer support, customer service, semantic search, sentiment analysis, content generation, and education assistant.