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Multi-Agentic Systems in Industry with XMPro & MongoDB Atlas

Blog post from MongoDB

Post Details
Company
Date Published
Author
Humza Akhtar, Romina Lopez Carranza, Gavin Green
Word Count
839
Company Posts That Month
27
Language
English
Hacker News Points
-
Post removed?
No
Summary

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.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
AI Agents 13 2,161 387 128 0%
Real-time 3 6,887 1,132 212 +49%
Vector Search 3 2,017 344 116 +7%
LLM 2 4,226 639 179 -13%
RAG 2 1,623 226 80 +8%
Multi-agent systems 1 634 72 37 +86%
Observability 1 2,122 444 131 +14%
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