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⏰ Live-streaming in just 1 hour. Join us on YouTube or Twitch for the latest on #OpenSearch 3.0 OpenSearchProj Carl Meadows

Customers are integrating Amazon Q's CLI with OpenSearch’s Agentic AI tools via MCP. MCP server for OpenSearch unlocks new ways for Search to become more conversational than text-based and the Agentic AI evolution is bringing in a new way of interacting with systems and LLMs.

🚀 Unlock agentic AI in OpenSearch! Learn to implement conversational search & NL analytics using MCP server & Amazon Q Developer CLI. Perfect for devs & data engineers looking to supercharge their search capabilities. Read more: hubs.la/Q03rlsBW0

Natural language → search queries → visualizations. Build GenAI apps faster with OpenSearch Assistant Toolkit👇

This moment right here? That’s what real-time observability excitement looks like. See you at #OpenSearchConNA?

In case you missed it! @OpenObservability Talks kicked off its 6th season with a deep dive into the OpenSearch 3.0 release covering Vector DB and more. 📽️ Catch the replay here: lnkd.in/d4fnZD62

Let the #Devoxx Poland 🇵🇱 begin! Happy to meet folks and chat about the #OpenSearch Project (you'll recognize me by the 👕), about #opensource, #cloudnative, #observability and the Krakow attractions. And join my talk today at the Data & AI track: devoxx.pl/talk-details/?…

Storage down by 78%. Memory usage down by 59%. Query latency slashed by 40-60%. OpenSearch byte vectors make dense retrieval dramatically faster and cheaper even on huge datasets like MNIST, SIFT, and GloVe. See the full benchmarks: hubs.la/Q03nQYm30

Vector search, now more efficient. ⚙️ OpenSearch 3.0’s derived source cuts storage up to 3x and lowers search latency by 90%. No code changes. Just better performance. Try it now 👉 hubs.la/Q03rx8q00

🔍 OpenSearch supports 5 different query languages, each with unique strengths: - Query DSL (JSON-based) - Query string (URL parameter) - SQL (traditional) - PPL (pipe-based) - DQL (dashboard filtering) Which one fits your use case best?

Moments that Mattered

Headed to #Berlin Buzzwords? So are we. Join the #OpenSearch Project 15-17 June for sessions, conversations, and all things search, logs, and vectors. Let’s build the future together. #BerlinBuzzwords

Need semantic search but don’t want a full stack? OpenSearch Vector DB works out of the box — no cloud lock-in, no heavyweight setup. Get started with just vector search. Add more features only when you need them. ✅ Fast to launch ✅ Easy to self-host ✅ Open source and free to

What’s going on in your OpenSearch cluster right now? 👀 Live queries in OpenSearch 3.0 let you monitor searches in real time, troubleshoot faster, and stay ahead of performance issues. Learn more → hubs.la/Q03rXkwy0

💡 OpenSearch Quick Tip: Understand the critical difference between: name: "John Doe" (analyzed text field) name.keyword: "John Doe" (exact match field) The first finds "john" or "doe" anywhere, the second requires the exact string. This simple distinction transforms your search

🚀 OpenSearch 3.0 introduces powerful new PPL commands: lookup, join & subsearch! Supercharge your log analysis with enhanced correlation, efficient data exploration & real-time enrichment - all powered by Apache Calcite. Level up your observability game! 🔍

Great first day for the OpenSearchProj team @[email protected]. Come visit us tomorrow, And join my talk on what's new with #OpenSearch at 12:00 - a good appetizer before lunch 😊 2025.berlinbuzzwords.de/session/whats-…

#OpenSearch 3.0 was just released last month, and we're already finalizing the 3.1 release 🚄 One of the most exciting features in the OpenSearchProj 3.1 release is Search Relevance Workbench, unveiled for the first time now on stage @[email protected] 🤩 linkedin.com/feed/update/ur…

This moment right here? That’s what real-time observability excitement looks like. See you at #OpenSearchConNA?