The keynote at OpenSearchCon India addressed the debate over whether agentic AI makes open source obsolete, arguing that using expensive compute to recreate existing infrastructure…
Max Security and BigData Boutique developed SCOUT AI, a closed-loop RAG system that utilizes OpenSearch’s hybrid search and Anthropic Claude to automate the retrieval of proprietar…
At OpenSearchCon Europe 2026, Fernando Rejon Barrera presented a study comparing Lucene’s HNSW, Faiss, and jVector under realistic production workloads rather than isolated benchma…
This article discusses how vector search in OpenSearch acts as a semantic safety net to prevent zero-result pages when traditional lexical search strategies fail to match user inte…
This article chronicles an individual's journey from being a regular OpenSearch user at Cloudera to becoming a maintainer of the project's search relevance plugin. By starting with…
At OpenSearchCon Europe 2026, Laysa Uchoa argued that generative AI hallucinations are primarily a retrieval problem rather than an inherent limitation of Large Language Models. Sh…
OpenSearch 3.5 introduces "LLM as a Judge," a new feature that leverages large language models to automatically and at scale evaluate search result relevance. This approach provide…
The OpenSearch agent server is an experimental multi-agent orchestration platform that enables users to build and deploy specialized AI agents for specific tasks within OpenSearch.…
To align with its "open source first" strategy and cloud modernization goals, the Norwegian Labour and Welfare Administration (NAV) migrated its 400GB-per-day logging infrastructur…
OpenSearch 3.7 introduces significant enhancements for observability and AI-powered search, focusing on unifying telemetry and accelerating performance. Key updates include native …
At OpenSearchCon Europe 2026, Carl Meadows announced three key innovations—OpenSearch Launchpad, the Relevance Agent, and a unified Observability Stack—to position OpenSearch as a …
Aiven engineers identified a bug where a single space in a KNN field name caused OpenSearch snapshot backups to fail because the snapshot repository rejected the resulting filename…
