Multi-Agentic Systems in Industry with XMPro & MongoDB Atlas
Blog post from MongoDB
XMPro's recent partnership with MongoDB aims to address the challenges of deploying AI agents in industrial environments. To ensure governance and security, agent profiles must be established before deployment, and data storage and scalability are crucial for efficient operation. Continuous monitoring and analysis, as well as high availability, are also essential for industrial applications. XMPro's APEX AI platform, combined with MongoDB Atlas and Vector Search, addresses these challenges by providing a low-code control room for configuring, monitoring, and orchestrating agent activities. The integration enables real-time data acquisition, contextualization, and advanced analytics, transforming raw data into actionable insights, while ensuring compliance and safety standards.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 13 | 2,792 | 485 | 163 | +5% |
| Real-time | 3 | 7,733 | 1,346 | 261 | +46% |
| Vector Search | 3 | 2,418 | 411 | 146 | +10% |
| LLM | 2 | 5,030 | 782 | 224 | -11% |
| RAG | 2 | 1,904 | 258 | 96 | +13% |
| Multi-agent systems | 1 | 700 | 87 | 46 | +89% |
| Observability | 1 | 2,523 | 537 | 157 | +20% |
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