OpenSearch 3.3 Launches with AI Agents That Autonomously Search and Plan Queries Across Data Sources
Summary
OpenSearch 3.3 launches with groundbreaking AI agents that autonomously interpret natural language questions and plan searches across multiple data sources, featuring a redesigned interface, enhanced analytics capabilities, and significant performance improvements including the new Seismic algorithm for neural sparse search.
Key Points
- OpenSearch 3.3 officially launches with AI agentic search and agentic memory APIs reaching general availability, enabling developers to deploy autonomous search agents that can interpret natural language questions and dynamically plan queries across data sources
- The release introduces a redesigned Discover interface in Dashboards with enhanced log analytics and distributed tracing capabilities, allowing users to compare search results interactively and integrate multiple data sources for richer insights
- Performance improvements include the new Seismic algorithm for neural sparse search, experimental batch inference support for large-scale distributed processing, and upgraded workload management with rule-based auto-tagging and query monitoring