As part of its missions, the Ministry of Culture aims to centralize the diverse data it manages. How can a platform be designed to host and distribute management, heritage, and decision-making data? What architecture choices were made considering the constraints? How does the search engine integrate into this platform, providing performance and smooth access? This is the story we will share, presented as a case study with practical insights.

As part of its missions, the Ministry of Culture aims to centralize the diverse data it manages. How can a platform be designed to host and distribute management, heritage, and decision-making data? What architecture choices were made considering the constraints? How does the search engine integrate into this platform, providing performance and smooth access? This is the story we will share, presented as a case study with practical insights.

The latest version of OpenSearch introduces powerful new features and tools that enable us to build AI-powered assistants capable of interacting not only with our data, but also with cluster configurations and even the external world. We’ll explore how these capabilities open the door to intelligent agent-based systems that can reason, retrieve, and act. We'll walk through how to combine OpenSearch with modern AI tools, like LLMs, agents, and orchestration frameworks, to create assistants that can autonomously diagnose issues, generate insights, or even automate operational tasks.