Build a multi-agent AI customer support system
Blog post from Nebius
AI agents are revolutionizing customer support by providing 24/7 assistance, understanding urgency, and processing queries with company-specific details. This transformation is powered by large foundation models, and the article outlines how to build a multi-agent system using an open-source Agent Development Kit (ADK) and the Agent-to-Agent (A2A) protocol. The ADK, developed by Google, offers a modular and flexible framework for developing AI agents that can scale, test, and integrate into real-world systems. The A2A protocol enables communication and collaboration between AI agents, allowing them to solve complex problems collectively. The article details the development of a customer query routing and resolution system, where a coordinator agent orchestrates tasks among intake, resolution, and escalation agents based on the sentiment of customer messages. The project uses open-source models from Nebius AI Studio for various tasks, optimizing performance and cost. The system is demonstrated through a Streamlit-based UI, showcasing its potential for real-world applications like automated onboarding, internal helpdesk automation, and multilingual support.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Multi-agent systems | 13 | 470 | 101 | 50 | +55% |
| AI Agents | 10 | 3,101 | 601 | 194 | +4% |
| LLM | 10 | 4,410 | 670 | 222 | -3% |
| RAG | 9 | 1,152 | 244 | 99 | -9% |
| Vector Search | 7 | 1,772 | 362 | 150 | +1% |
| Real-time | 2 | 4,881 | 1,155 | 268 | -10% |
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