OpenSearchProj

Hundreds of contributors just shipped something worth talking about. Launched today, #OpenSearch 3.6 brings agent-powered tools to help you build, deploy, and deliver results faster. What you can do now: - Build production-ready search applications in minutes, not days - Launch a full-stack observability solution with one command - Tune search relevance through conversation instead of code - Monitor distributed applications in real time with Application Performance Monitoring and built-in root cause analysis See everything that landed in this release. bit.ly/4sjxAky

OpenSearch is moving AI from experiment to production. At KubeCon + CloudNativeCon EU 2026, Bianca Lewis spoke with ECI Research about hybrid search—combining lexical and vector approaches—to power real-time, scalable AI applications. The discussion highlights why OpenSearch is becoming essential open, vendor-neutral infrastructure for AI. Watch the full interview here: bit.ly/4cr524b #OpenSearch #AI #HybridSearch #OpenSource #CloudNative

⏳ One week left! The #OpenSearchCon North America CFP closes May 10 — and your talk idea deserves more than a "maybe someday." San Jose | Sept. 22–24 | 20 or 40 minute sessions | Complimentary pass for accepted speakers Submit now: bit.ly/40LgxwJ Register to attend: bit.ly/3NXhWNN

Build AI-Ready Search with #Docling & #OpenSearch Carol Chen (Red Hat) and Phil Nash (IBM, a member company) demonstrate how Docling transforms complex documents into AI-ready formats, enabling advanced RAG and agentic applications with OpenSearch. Discover practical integration patterns and pipelines for accurate, explainable AI search: bit.ly/4cKKOkN

IT Brief covers CERN joining the #OpenSearch Software Foundation as an associate member. A long-time user since 2016, CERN runs 130 clusters indexing over 1.3 petabytes of data. As a member, they'll contribute expertise in observability, cluster monitoring, and Kubernetes operations — and are already exploring OpenSearch for vector database and AI-driven use cases. Read the full story: itbrief.news/story/cern-joi…

Data at scale. Observability. #OpenSearchAmbassador. That's Himanshu Ramchandani in a nutshell. Meet Himanshu — Senior Data Engineer & Tech Lead at Sonos, building the infrastructure that keeps teams moving fast. When he's not doing that, you'll find him conquering 10Ks and trail hikes. Get to know Himanshu: opensearch.org/ambassadors/

Efficiently Connected highlights a shift: open source is becoming core infrastructure for search—not just dev tooling. The OpenSearch Software Foundation’s Long Term Support program reflects this reality, with 18-month releases, SBOM-backed security, and a vendor-neutral model designed for production stability. For search teams, it means fewer upgrade shocks, stronger security transparency, and more predictable operations at scale. Read more here: efficientlyconnected.com/opensearch-lau…

#OpenSearchCon India track highlight: Operating OpenSearch! Join us 15-16 June in Mumbai for sessions on running, scaling, and optimizing OpenSearch in production. Hear from Apple, Amazon, Freshworks, CrowdStrike, Shutterstock, SentinelOne & more! View the sessions: bit.ly/48YOAFX Register now + save: bit.ly/4twI0P4

Open source is entering a new phase of maturity. Hyperframe Research reports on OpenSearch’s new LTS model highlights the shift: 18-month support cycles, strong security standards, and certified vendor support—without lock-in. It brings together the best of both worlds: community-driven innovation and enterprise-grade stability. A clear signal of where open source is heading next: bit.ly/42eTPxP #OpenSearch #OpenSource

#OpenSearchAmbassador @horovits just dropped the highlights for OpenSearch 3.6! AI agents are top of mind, and 3.6 delivers: - Launchpad: Build agentic search in minutes—no expertise needed. - Observability: OTel-native stack with GenAI tracing. - Relevance Agent: Weeks of tuning now take hours. - 32x Vector compression. Watch and build: bit.ly/4vS4njO #OpenSearch #GenAI #OpenSource

The #OpenSearch Long-Term Support (LTS) program is here, marking a major turning point for the project. @lisatbriggs and Bianca Lewis discuss how LTS redefines ""open"" for the enterprise, balancing flexibility with the stability and security required for modern AI infrastructure. Read more: bit.ly/4vPuFDf

OpenSearchCon Europe videos are now live! If you missed OpenSearchCon in Prague or couldn't make it to every session, great news — all the videos are now available online! Watch the full playlist here: bit.ly/4sXImh0 And a huge thank you to everyone who attended, presented, and helped make this event a major success. From keynotes to deep dives on search, AI, plugins, and more—the breadth of topics and quality of speakers was incredible. We truly cannot do it without the contributions of this community.

Amanda Katona, #OpenSearchAmbassador and Director of Developer and Open Source Engagement at @Instaclustr, highlights a clear shift: #OpenSearch is evolving from a search and analytics engine into infrastructure for AI-native applications. With releases like 3.5 and 3.6, it’s moving toward agentic systems—bringing in memory, scalable vector search, token tracking, and production-grade observability. Her take is simple: OpenSearch is becoming the layer where AI agents retain context, retrieve knowledge, and operate at scale. Read Amanda's full blog from OpenSearchCon EU to explore the direction in more detail. bit.ly/3OZ2jG2

⏳ 2 weeks left to submit your talk for #OpenSearchCon North America. Whether you're running #OpenSearch at scale, tuning relevance, or building with GenAI - your experience is worth sharing. 🗓 Deadline: May 10 🎟 Accepted speakers get a complimentary pass! Submit now → bit.ly/40LgxwJ

Last week at #OpenSearchCon Europe, we introduced the OpenSearch Long-Term Support (LTS) program—designed to give our users more choice and more time to plan their upgrades without sacrificing security. Go behind the scenes with Bianca Lewis and @lisatbriggs as they break down how this program changes the game for #OpenSearch contributors and users alike. Watch the interview: bit.ly/4t0CuU5 #OpenSearch #LTS #OpenSource

OpenSearch is moving AI from experiment to production. At KubeCon + CloudNativeCon EU 2026, Bianca Lewis spoke with ECI Research about hybrid search—combining lexical and vector approaches—to power real-time, scalable AI applications. The discussion highlights why OpenSearch is becoming essential open, vendor-neutral infrastructure for AI. Watch the full interview here: bit.ly/4cr524b #OpenSearch #AI #HybridSearch #OpenSource #CloudNative

The OpenSearch ecosystem thrives on experts sharing real-world architectures. We are highlighting a technical deep dive from OpenSearch member company @IBM regarding the integration of #OpenSearch within #watsonx.data. IBM is leveraging OpenSearch to power the next generation of Agentic RAG, focusing on three key technical pillars: - OpenRAG Framework: Utilizing OpenSearch to transform unstructured data into actionable AI context. - Hybrid Retrieval: Why combining vector and keyword search is essential for enterprise-grade accuracy. - AI Orchestration: Integrating with tools like Langflow and Docling to move RAG pipelines from pilot to production. We value project members who share their architectural blueprints with the broader ecosystem. Review the technical breakdown to see how OpenSearch is scaling the enterprise AI stack. Read the full post here: ibm.com/new/announceme… #OpenSearch #IBM #OpenSource #RAG #VectorSearch #AIArchitecture #CommunityVoices

🔍 #OpenSearchCon India is coming to Mumbai, 15-16 June. Explore the Search + Apache Lucene track! Hear sessions on agentic AI, vector search, RAG, semantic search & more from engineers at Amazon, Uber, Microsoft, IBM, and others. View sessions: bit.ly/4cEGiV0 Register: bit.ly/4twI0P4

Carl Meadows, Governing Board Chair at The OpenSearch Software Foundation, writes that creating trustworthy agentic AI requires community-driven innovation. AI autonomy introduces new risks, and transparency across retrieval, observability, and analytics layers—powered by platforms like OpenSearch—is essential for trust. Open, collaborative development ensures agents are auditable, resilient, and continuously improved, making infrastructure and workflows reliable at scale. bit.ly/4lVH7Nk

Real world documents often include text, tables, charts, and diagrams that traditional text based search cannot fully capture. OpenSearch supports multimodal search using vector and neural pipelines, but different approaches involve tradeoffs in quality, latency, and complexity. Three approaches were benchmarked on 1000 report pages. This blog post shares the results and when to use each approach. bit.ly/3OWqpBl

Smarter observability helps your teams get faster insights while running systems more efficiently. OpenSearch unifies logs, metrics, and traces, reducing unnecessary queries and optimizing resource use — delivering actionable data with lower operational overhead. See all case studies and learn how OpenSearch powers more efficient, scalable solutions: bit.ly/4tspuYt