How to Build a Multi-Agent Bot with Autogen and Nebula
Blog post from Symbl.ai
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.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 31 | 4,157 | 383 | 131 | +53% |
| Multi-agent systems | 26 | No monthly metrics for this publish month. | |||
| AI Agents | 23 | 328 | 86 | 45 | +218% |
| Real-time | 1 | 2,178 | 673 | 199 | -6% |
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