Having surpassed 2 billion downloads, the OpenSearch Project demonstrates the long-term viability and structural durability of a vendor-neutral, community-driven governance model u…
OpenSearch 3.7 introduces the ability to retrieve vectors via `docvaluefields` rather than the traditional `source` path, allowing for direct reading from the columnar store. This …
The OpenSearch Ambassador Program is transitioning to a rolling application model, allowing community members to apply year-round rather than during specific windows. Applications …
At OpenSearchCon Europe 2026, Dom Couldwell argued that effective enterprise search must move beyond simple keywords to address user intent across three levels: query, journey, and…
The OpenSearch Observability Stack is an OpenTelemetry-native platform that unifies metrics, traces, and logs into a single correlated store to streamline root cause analysis. The …
OpenSearch Data Prepper 2.16 has been released, introducing a new pull-based Prometheus source and direct ingestion support for the OpenSearch Time-Series Database (TSDB). The upda…
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…
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…