OpenSearchCon Europe 2025

In today's rapidly evolving AI landscape, Agentic Retrieval-Augmented Generation (RAG) systems represent a significant leap forward in intelligent search capabilities. This presentation introduces how Agentic RAG enhances traditional RAG by incorporating autonomous agents that can both retrieve and act on information. We'll demonstrate a practical implementation using OpenSearch's vector database, showcasing how this combination enables agents to understand user queries, retrieve relevant information, and execute meaningful actions based on the context.

The presentation will focus on three key areas: the fundamental architecture of Agentic RAG, its integration with OpenSearch vector search capabilities, and practical scaling considerations for enterprise applications. Through demonstration steps, we'll show how this system handles real-world scenarios, highlighting the potential impact on business operations. We'll conclude with insights into deployment strategies and best practices for maintaining system performance at scale, providing attendees with actionable knowledge they can apply in their own organizations.