Taking your first steps towards search relevance - OpenSearch
OpenSearch 3.1 introduces the Search Relevance Workbench, a comprehensive toolkit that helps improve and fine-tune your search relevance through experimentation.| OpenSearch
Learn to deploy OpenSearch MCP server on Bedrock AgentCore Runtime to securely connect AI agents with OpenSearch clusters using CloudFormation or CLI methods. The post Hosting OpenSearch MCP Server with Amazon Bedrock AgentCore appeared first on OpenSearch.| OpenSearch
A look at how OpenSearch has grown into a trusted open-source platform for next-gen analytics, AI, and global collaboration One year ago, the OpenSearch Project joined the Linux Foundation with... The post OpenSearch at the Linux Foundation: One year of innovation and community growth appeared first on OpenSearch.| OpenSearch
Foundation advances AI innovation for search, observability and analytics as project downloads increase 78% year-over-year AMSTERDAM – Open Source Summit Europe – 25 August 2025 – The OpenSearch Software Foundation,... The post OpenSearch Software Foundation Marks 1-Year Anniversary with Community Growth, Agentic AI and Hybrid Search Enhancements appeared first on OpenSearch.| OpenSearch
Executive Takeaway To support its vast cloud ecosystem, SAP is advancing its observability strategy with a strong focus on open standards. A key pillar of this strategy is SAP Cloud... The post Case Study: SAP Unifies Observability at Scale with OpenSearch and OpenTelemetry appeared first on OpenSearch.| OpenSearch
OpenSearch Benchmark 2.0 redefines the benchmarking experience and introduces long-awaited features that offer users the essential tools needed to measure, track, and optimize OpenSearch performance. The post Introducing OpenSearch Benchmark 2.0 appeared first on OpenSearch.| OpenSearch
Learn how to use OpenSearch Ingestion pipelines to automate ML batch inference for offline ingestion. The post Scaling vector generation: Batch ML inference with OpenSearch Ingestion and ML Commons appeared first on OpenSearch.| OpenSearch
OpenSearch 3.2 includes new features to enhance and broaden search, observability, and generative AI use cases. The post Introducing OpenSearch 3.2: Next-generation search and analytics with enhanced AI capabilities appeared first on OpenSearch.| OpenSearch
Explore key performance optimizations in OpenSearch's security layer, including privilege evaluation and security enhancements that deliver major throughput improvements for clusters of all sizes. The post Performance optimizations for the OpenSearch security layer appeared first on OpenSearch.| OpenSearch
OpenSearch 3.1 introduces the Search Relevance Workbench, a comprehensive toolkit that helps improve and fine-tune your search relevance through experimentation.| OpenSearch
The post Diving deep into distributed microservices with OpenSearch and OpenTelemetry appeared first on OpenSearch.| OpenSearch
Go beyond keyword search and learn how to build a multimodal search engine in OpenSearch. This post will show you how to implement one in OpenSearch using the ML inference ingest and search request processors.| OpenSearch
In traditional lexical search we often use text analysis to improve search results. OpenSearch uses analyzers to refine, tokenize, and convert text fields before storing them in an index. As an example,...| OpenSearch
OpenSearch is a community-driven, Apache 2.0-licensed open source search and analytics suite that makes it easy to ingest, search, visualize, and analyze data.| OpenSearch
Learn how to use ML inference processors to implement semantic search and summarization in OpenSearch.| OpenSearch
OpenSearch 3.1 brings further innovation into the 3.x line with a host of updates to help you boost indexing performance, improve search results, dig deeper into your observability data, build more powerful agentic AI solutions, and maintain security for your OpenSearch deployments.| OpenSearch
Discover how to implement agentic AI in OpenSearch using MCP server and Amazon Q Developer CLI for powerful, conversational search experiences and natural language analytics.| OpenSearch
Thank you to the OpenSearch community members who responded to our Q1 community survey! Our first quarterly survey focused on understanding who our users are, what they use OpenSearch for,...| OpenSearch
Empowering Action Through Accessibility| OpenSearch
Optimize OpenSearch cluster performance by separating indexing and search operations. Discover write/search replicas and dedicated search nodes, with benchmark data showing 34% lower query latency through workload separation.| OpenSearch
OpenSearch now supports Model Context Protocol (MCP), a framework simplifying AI agent integration with search tools. Learn how MCP reduces development complexity and enables seamless AI-powered data access for enhanced search solutions.| OpenSearch
The OpenSearch Project's first major version since 2022 propels OpenSearch forward with significant advancements in performance, data management, vector database functionality, and much more.| OpenSearch
Explore z-score normalization in OpenSearch 3.0-beta1 for hybrid search. Learn how this technique compares to min-max normalization through benchmarks on search relevance and performance.| OpenSearch
Join us at OpenSearchCon Europe 2025 in Amsterdam, April 30 - May 1, for two days of open-source search and analytics insights, technical deep dives, and networking. Call for proposals and early bird registration now open!| OpenSearch
Unlock the full potential of large-scale vector search in OpenSearch. Learn why GPU acceleration, featuring a new decoupled architecture and NVIDIA cuVS's CAGRA algorithm, is essential for high-performance AI applications.| OpenSearch
Developing OpenSearch Dashboards (OSD) can feel overwhelming, whether you’re setting up your environment for the first time or starting work on a significant feature. This blog post introduces developer tools...| OpenSearch
Imagine the ability to search through hundreds of millions of high-dimensional vectors in a split second, all while using less storage and memory than ever before. This might sound impossible,...| OpenSearch
Introduction Hybrid search combines lexical and neural search to improve search relevance; this combination shows promising results across industries and in benchmarks. In OpenSearch 2.18, hybrid search is an arithmetic combination of the...| OpenSearch
The growing popularity of generative AI and large language models (LLMs) has led to an increased demand for efficient vector search and similarity operations. These models often rely on high-dimensional...| OpenSearch
When Amazon Web Services (AWS) launched the OpenSearch Project, it sought to inspire a community of contributors to help drive innovation for a strategically important open-source project. Working toward that...| OpenSearch
Upgrading to OpenSearch offers many advantages, but it can also introduce unexpected challenges. One such issue we’ve encountered while assisting with upgrades from older Elasticsearch versions is the “cold start...| OpenSearch
Exact k-nearest neighbor (k-NN) search in OpenSearch allows you to define custom scoring functions to retrieve documents based on their proximity to a query vector. This method provides highly accurate...| OpenSearch
Trace analytics| OpenSearch Documentation
Log analytics| OpenSearch Documentation
Logs| OpenSearch Documentation
Nodes stats Introduced 1.0| OpenSearch Documentation
Normalization processor Introduced 2.10| OpenSearch Documentation
Hybrid search Introduced 2.11| OpenSearch Documentation
OpenSearch is a community-driven, Apache 2.0-licensed open source search and analytics suite that makes it easy to ingest, search, visualize, and analyze data.| OpenSearch
OpenSearch is a community-driven, Apache 2.0-licensed open source search and analytics suite that makes it easy to ingest, search, visualize, and analyze data.| OpenSearch
Explore how sorting works in hybrid queries, the query execution workflow, and ways to leverage these sorting capabilities within OpenSearch to improve search relevance and usability of results.| OpenSearch
Data Prepper 2.10.0 adds OpenSearch API and Kinesis Data Streams sources for seamless ingestion, plus Kafka SASL/SCRAM support and OpenTelemetry log parsing.| OpenSearch
Explore how Protegrity uses OpenSearch and embraces WCAG 2.1 compliance to integrate web content accessibility guidelines and data visualizations that foster inclusivity, drive innovation, and utilize secure data.| OpenSearch
Explore the implementation of the OpenSearch index request cache and how this crucial mechanism enhances search query performance and efficiency.| OpenSearch
Explore how enhanced search latency monitoring capabilities at the coordinator node level can help you optimize search performance in your OpenSearch cluster.| OpenSearch
Learn about rank normalization in hybrid search and how to OpenSearch can help you standardize scores from diverse algorithms to deliver more accurate and fair search results.| OpenSearch
Explore the new features and enhancements in OpenSearch 2.17, including improved machine learning integration, enhanced search performance, increased scalability, and cost efficiency.| OpenSearch
The OpenSearch Project has joined the OpenSearch Software Foundation, a vendor-neutral nonprofit organization hosted by the Linux Foundation. Learn about this transition and how it helps the OpenSearch community work together to build great software for search, analytics, observability, and vector database applications.| OpenSearch
Explore the OpenSearch Project's roadmap for 2024-2025 and learn how the community is driving the project forward to make it the preferred open-source solution for search, analytics, and generative AI applications.| OpenSearch
Data Prepper| OpenSearch Documentation
OpenSearch 2.16 arrives with an expanded toolkit to make it easier to build search and generative AI applications, along with more advancements in performance and efficiency and upgrades that improve ease of use.| OpenSearch
Learn how to benchmark, track performance, and improve latency across your large workloads by searching segments concurrently in OpenSearch.| OpenSearch
OpenSearch is a community-driven, Apache 2.0-licensed open source search and analytics suite that makes it easy to ingest, search, visualize, and analyze data.| OpenSearch
OpenSearch is a community-driven, Apache 2.0-licensed open source search and analytics suite that makes it easy to ingest, search, visualize, and analyze data.| OpenSearch
On June 9th through 11th 2024 the OpenSearch Project joined the community at Berlin Buzzwords to share knowledge and interact with the search and open source communities.| OpenSearch
Learn how FP16 Quantization in OpenSearch helps to reduce memory requirements up to 50% with a very minimal loss in quality.| OpenSearch
OpenSearch 2.15.0 brings an array of new and expanded functionality designed to help users scale up performance and efficiency; advance stability, availability, and resiliency; and enhance your search, analytics, and observability applications, along with new machine learning capabilities and ease-of-use improvements.| OpenSearch
Discover how vector radial search enhances the capabilities of the OpenSearch k-NN plugin and increases flexibility and utility in search operations.| OpenSearch
Join the OpenSearch Project in San Francisco for it’s third annual OpenSearchCon North America 2024 taking place September 24-26 at the Hilton Union Square. Register today.| OpenSearch
Learn how the OpenSearch Project uses the Diataxis documentation system to identify gaps while working with its community to encourage contributions and improve its content.| OpenSearch
Deep dive into the fundamentals of neural sparse search and explore two methods for accelerating semantic sparse retrieval in OpenSearch.| OpenSearch
Learn more about the strategic enhancements and performance features that OpenSearch has delivered up to version 2.14.| OpenSearch
Semantic search helps search engines understand queries. Unlike traditional search, which takes into account only keywords, semantic search also considers their meaning in the search context. Thus, a semantic search...| OpenSearch
In the complex and ever-evolving world of software architecture, managing logs effectively is not just a necessity—it’s an art. For open-source architects facing the challenges of sifting through vast amounts...| OpenSearch
Following an overwhelming response to our call for presentations, the speakers and sessions for OpenSearchCon Europe have been selected. We’re delighted to present 22 sessions covering timely topics related to search, observability, security, operations,...| OpenSearch
User experience challenges Software improvements often prioritize adding new features and functionality. Product managers and developers often adopt an agile approach, adding engineering capabilities in iterative steps. Neglecting seamless user...| OpenSearch
updated 2024-04-12 For two years now, we’ve welcomed the OpenSearch community to Seattle for OpenSearchCon. Seeing the conference grow each year and listening to the talks, keynotes, unconference, and training...| OpenSearch
Learn how OpenSearch 2.12.0 improves and secures the initial admin user setup processes using the demo configuration tool in the OpenSearch security plugin.| OpenSearch
Learn how using the efficient filters in OpenSearch allows users to perform filtered vector similarity search at scale.| OpenSearch
