OpenSearch

Evaluating agentic search in OpenSearch

This article details the evaluation of OpenSearch's agentic search capabilities, which uses LLMs to enable natural language interaction with data. Testing focused on two key areas:…

Search modernization with OpenSearch: From Vector Search to Agentic AI

The article details how enterprise search is rapidly evolving beyond keyword matching to semantic search and now, crucially, to supporting agentic AI – autonomous workflows needing…

Achieving 99.99% Availability: Atlassian’s Success with OpenSearch for Mission-Critical Workloads

Atlassian successfully migrated to OpenSearch to overcome scaling limitations with their legacy PostgreSQL-based search, enabling them to support growing AI demands. This Kubernete…

Beyond filter rewrite: How doc value skip indexes accelerate aggregations in OpenSearch

This article details how the authors overcame limitations in previous date histogram aggregation optimizations in Elasticsearch. Previously, these optimizations (filter rewrite & m…

OpenSearch Agent Health: Open-source observability and evaluation for AI agents

This article highlights the challenges of deploying and maintaining agentic AI applications in production, specifically the lack of visibility into their decision-making processes.…

Accelerating FP16 vector search performance using bulk SIMD in OpenSearch 3.5

OpenSearch has significantly improved the performance of vector search using 16-bit floating point numbers (FP16) over the last three releases. Starting with memory-optimized searc…