Lucene-on-Faiss: Powering OpenSearch's high-performance, memory-efficient vector search - OpenSearch
Learn how a hybrid approach that takes the best from Lucene and Faiss achieves better performance.| OpenSearch
As we mark the first anniversary of the OpenSearch Software Foundation’s Technical Steering Committee (TSC), it’s important to celebrate the milestones we’ve achieved and acknowledge the dedicated individuals who helped... The post Technical Steering Committee: Reflecting on our first year appeared first on OpenSearch.| OpenSearch
OpenSearch 3.3 is available for download, with a number of new features designed to help your search, observability, and AI-powered applications. This release delivers an array of upgrades across use... The post Explore OpenSearch 3.3 appeared first on OpenSearch.| OpenSearch
What does it feel like to attend OpenSearchCon for the very first time? When I walked in, I was nervous. I’ve been working in infrastructure and observability, but this was... The post My first OpenSearchCon: Notes from the front row appeared first on OpenSearch.| OpenSearch
In an era of explosive data growth, organizations are facing a critical challenge: how to manage, analyze, and derive value from their logs without breaking the bank. Traditional proprietary solutions like Splunk have become increasingly expensive, leaving teams searching for a more sustainable approach to observability. The post Reimagining log analytics for the modern enterprise appeared first on OpenSearch.| OpenSearch
Watch now as Pega details their experience with OpenSearch, demonstrating how they leverage AI agents to design, automate, and optimize decisions and workflows at scale. Read the Full Case Study,... The post Pega saves 60K+ hours in annual management time with OpenSearch appeared first on OpenSearch.| OpenSearch
Search functionality is the cornerstone of any successful e-commerce platform. It’s the point of connection between customers and your product catalog. Your store’s search features directly influence the user experience,...| OpenSearch
We’re thrilled to announce the launch of OpenSearch AI demos in Hugging Face, a set of cutting-edge demo applications that put the power of advanced AI search capabilities right at your fingertips. Whether... The post Introducing OpenSearch AI demos in Hugging Face: Your all-in-one AI search playground appeared first on OpenSearch.| OpenSearch
Enhancing OpenSearch neural sparse models with GTE and LLM teachers. The post Advancing search with OpenSearch v3 neural sparse models and a multilingual retrieval model appeared first on OpenSearch.| OpenSearch
Learn how the OpenSearch Writing Assistant helps contributors draft clear, accurate blog posts faster, with practical tips and real before-and-after examples. The post How to write better blog posts with the OpenSearch Writing Assistant appeared first on OpenSearch.| OpenSearch
Learn how a hybrid approach that takes the best from Lucene and Faiss achieves better performance.| OpenSearch
Author Samuel Herman Samuel Herman is the architect of OCI (Oracle Cloud Infrastrcture) OpenSearch service launched GA in 2022. Previously in his career Samuel led multiple projects and products for...| OpenSearch
OpenSearch 3.1 introduces the Search Relevance Workbench, a comprehensive toolkit that helps improve and fine-tune your search relevance through experimentation.| 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
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
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
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
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
