Introduced at OpenSearchCon Europe 2026, Agentic Relevance Tuning (ART) is a new framework that uses specialized LLM agents to automate the entire search relevance lifecycle in Ope…
At OpenSearchCon Europe 2026, Unnati Mishra and Akshat Khanna presented a method for handling search privacy during the data ingest phase rather than through retroactive access con…
At OpenSearchCon Europe 2026, Amazon’s Shubham Chaudhary demonstrated how bypassing JVM limitations to implement native SIMD architecture achieved a 60% reduction in Lucene vector …
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…
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…
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…
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 …
The OpenSearch Project’s Ambassador Program has seen significant growth, recently adding 10 new members to its initial group of 11, demonstrating a maturing and highly engaged comm…