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.

🌟 Session Overview 🌟

Session Name: Exploring Large Graphs at the Heart of the French National Audiovisual Institute Speaker: Pietro Mele, Radu Pop Session Description: The National Audiovisual Institute (INA) serves as the repository for all French audiovisual archives, maintaining a continuous archiving effort for over 180 radio and television services around the clock since 1995. The metadata generated from this vast collection equates to hundreds of billions of documents, encompassing images, audio and video fragments, and text excerpts.

Given the diverse nature of the content, the data model is inspired by the conceptual frameworks of cultural heritage, structured as an extensive graph with intricate relationships between generic entities.

Building a global search engine for this unique use case presents a dual challenge: ensuring rapid indexing and implementing sophisticated full-text search capabilities with high performance. The presentation will explore the crucial decisions made and the technical infrastructure developed to meet these challenges effectively, starting from data injection and indexing strategies to the implementation of advanced search algorithms and scalable storage solutions.

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